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ARTICLE CONTENTS

 * Abstract
 * I. Introduction
 * II. Data and Methodology
 * III. The Disconnection of Education and Income Cleavages in Western
   Democracies
 * IV. The Origins of The Transformation of Political Cleavages: Evidence from
   Manifesto Data
 * V. Electoral Change in Western Democracies: Alternative Explanations and
   Other Dimensions of Political Conflict
 * VI. Conclusion
 * Data Availability
 * Footnotes
 * References
 * Supplementary data


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BRAHMIN LEFT VERSUS MERCHANT RIGHT: CHANGING POLITICAL CLEAVAGES IN 21 WESTERN
DEMOCRACIES, 1948–2020*

Amory Gethin,
Amory Gethin
Paris School of Economics—École des Hautes Études en Sciences Sociales
,
France
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Oxford Academic
Google Scholar
Clara Martínez-Toledano,
Clara Martínez-Toledano
Imperial College London
,
United Kingdom
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Oxford Academic
Google Scholar
Thomas Piketty
Thomas Piketty
Paris School of Economics—École des Hautes Études en Sciences Sociales
,
France
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Oxford Academic
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The Quarterly Journal of Economics, qjab036, https://doi.org/10.1093/qje/qjab036
Published:
07 October 2021
Article history
Accepted:
30 September 2021
Published:
07 October 2021

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   Amory Gethin, Clara Martínez-Toledano, Thomas Piketty, Brahmin Left Versus
   Merchant Right: Changing Political Cleavages in 21 Western Democracies,
   1948–2020, The Quarterly Journal of Economics, 2021;, qjab036,
   https://doi.org/10.1093/qje/qjab036
   
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ABSTRACT

This article sheds new light on the long-run evolution of political cleavages in
21 Western democracies. We exploit a new database on the socioeconomic
determinants of the vote, covering more than 300 elections held between 1948 and
2020. In the 1950s and 1960s, the vote for social democratic, socialist, and
affiliated parties was associated with lower-educated and low-income voters. It
has gradually become associated with higher-educated voters, giving rise in the
2010s to a disconnection between the effects of income and education on the
vote: higher-educated voters now vote for the “left,” while high-income voters
continue to vote for the “right.” This transition has been accelerated by the
rise of green and anti-immigration movements, whose distinctive feature is to
concentrate the votes of the higher-educated and lower-educated electorates.
Combining our database with historical data on political parties’ programs, we
provide evidence that the reversal of the education cleavage is strongly linked
to the emergence of a new “sociocultural” axis of political conflict.

JEL
D72 - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and
Voting Behavior P16 - Political Economy P51 - Comparative Analysis of Economic
Systems
Issue Section:
Article


I. INTRODUCTION

Western democracies have undergone major transformations in recent years,
embodied by political fragmentation, the increasing salience of environmental
issues, and the growing success of antiestablishment authoritarian movements
(Trump, Brexit, Le Pen, etc.). Yet, much remains to be understood about the
nature and origins of these political upheavals. On what dimensions of political
conflict (education, income, age, etc.) have such transformations aligned? Is
the rise of “populism” the outcome of recent trends (such as the 2007–2008
financial crisis, immigration waves, or globalization), or can we trace it back
to longer-run structural changes? Beyond country-specific factors, can we find
evolutions that are common to all Western democracies?

This article attempts to make progress in answering these questions by
exploiting a new data set on the long-run evolution of electoral behaviors in 21
democracies. Drawing on nearly all electoral surveys ever conducted in these
countries since the end of World War II, we assemble microdata on the individual
determinants of the vote for over 300 elections held between 1948 and 2020.
Together, these surveys provide unique insights into the evolution of voting
preferences in Western democracies. The contribution of this article is to
establish a new set of stylized facts on these preferences and explore some
mechanisms underlying their transformation in the past decades.1

Comparing the evolution of electoral cleavages requires grouping political
parties in such a way that the coalitions considered are as comparable across
countries and over time as possible. To do so, we start by making a distinction
between two large groups of parties: social democratic, socialist, communist,
and green parties (“left-wing” or “social democratic and affiliated” parties) on
one side, and conservative, Christian democratic, and anti-immigration parties
(“right-wing” or “conservative and affiliated” parties) on the other side.2

The most relevant result that emerges from our analysis is the existence of a
gradual process of disconnection between the effects of income and education on
the vote. In the 1950s–1960s, the vote for social democratic and affiliated
parties was “class-based,” in the sense that it was strongly associated with the
lower-income and lower-educated electorate. It has gradually become associated
with higher-educated voters, giving rise in the 2010s to a divergence between
the influences of income (economic capital) and education (human capital):
high-income voters continue to vote for the right, while high-education voters
have shifted to supporting the left. This separation between a “Merchant right”
and a “Brahmin left” is visible in nearly all Western democracies, despite their
major political, historical, and institutional differences.3 We also find that
the rise of green and anti-immigration parties since the 1980s–1990s has
accelerated this transition—although it can only explain about 15% of the
overall shift observed—as education, not income, most clearly distinguishes
support for these two families of parties today.

As a result, many Western democracies now appear to have shifted from
“class-based” to “multidimensional” or “multiconflictual” party systems, in
which income and education differentially structure support for competing
political movements. One might call these systems “multi-elite” party systems,
in which governing coalitions alternating in power tend to reflect the views and
interests of a different kind of elite (intellectual versus economic), assuming
that elites have a greater influence on political programs and policies than the
rest of the electorate.4

To shed light on the factors underlying the divergence of the effects of income
and education on the vote, we match our data set with the Comparative Manifesto
Project database, the most comprehensive available data source on the evolution
of political parties’ programs since the end of World War II. Drawing on two
indicators of party ideology from the political science literature (Bakker and
Hobolt 2013), corresponding to parties’ relative positions on an
“economic-distributive” axis and a “sociocultural” axis, we provide evidence
that the separation between these two dimensions of political conflict and the
divergence of income and education are tightly related phenomena. Specifically,
we document that the correlation between parties’ income gradient and their
position on the economic-distributive dimension has remained very stable since
the 1960s: parties emphasizing “pro–free-market” issues receive
disproportionately more votes from high-income voters today, just as they used
to 60 years ago. Meanwhile, the correlation between the education gradient and
parties’ positions on the sociocultural axis has dramatically increased over
time, from 0 in the 1960s to nearly 0.5 in the 2010s.

In other words, parties promoting “progressive” policies (green and traditional
left-wing parties) have seen their electorate become increasingly restricted to
higher-educated voters, while parties upholding more “conservative” views on
sociocultural issues (anti-immigration and traditional right-wing parties) have
concentrated a growing share of the lower-educated electorate. We also find a
strong and growing cross-country association between ideological polarization on
sociocultural issues and the reversal of the education cleavage. In particular,
the two countries in our data set where this reversal has not yet occurred,
Portugal and Ireland, are also where partisan divisions over these issues remain
the weakest today. Taken together, these results suggest that changes in
political supply, in particular the increasing emphasis on sociocultural factors
among old and new parties, appear to be an important factor behind the
progressive disconnection between educational and income divides.

We should stress, however, that the limitations of available information on
party manifestos constrain our ability to carry out a causal analysis or fully
test the hypotheses behind the empirical regularities we uncover. In particular,
the sociocultural axis puts together many different items that may involve
various forms of economic conflict over the consequences of environmental,
migration, or education policies. The manifesto data do not provide information
on the actual policies implemented by governing coalitions either. For instance,
social democratic and affiliated parties may continue emphasizing redistributive
policies just as they used to in the past, but their credibility in effectively
pursuing these policies may have declined since then. Another complementary
interpretation of our findings is that left-wing parties have gradually
developed a more elitist approach to education policy, in the sense that they
have increasingly been viewed by less well-off voters as primarily defending the
winners of the higher education competition.5 Unfortunately, the data at our
disposal make it difficult to provide a direct test for these various
hypotheses. The fact that turnout has fallen sharply among the bottom 50% least
educated and poorest voters in a number of countries, but not among the top 50%,
could be interpreted as a sign that socially disadvantaged voters have felt left
aside by the rise of “multi-elite” party systems.6

We investigate to what extent shifts in the composition of education groups in
terms of gender, age, or other socioeconomic variables could account for the
reversal of the education cleavage. To do this, we compare the education
gradient before and after controlling for all available covariates in our
database. We carry a Kitagawa-Oaxaca-Blinder decomposition of the education
gradient, which allows us to formally estimate what fraction of the reversal can
be accounted for by structural changes in educational achievement. Both methods
yield identical results: compositional effects can only predict 16%–17% of the
transformation of educational divides observed since the 1950s.

We do find some heterogeneity in the reversal when further decomposing voters
into subgroups by different socioeconomic characteristics. Generational dynamics
appear to have mattered tremendously in generating the reversal of the education
cleavage: while older lower-educated voters continue to vote “along class lines”
and thus support the left, social democratic and green parties have attracted a
growing share of the higher-educated electorate among the youth. The reversal in
the educational divide has also been highest among nonreligious voters and among
men, although it has happened in other subgroups, too. Overall, the
disconnection of income and education cleavages has been a relatively
independent and widespread phenomenon, in the sense that it cannot be accounted
for by other socioeconomic variables and is not linked to any particular
subgroup of voters.

Finally, we exploit the other variables in our data set to study cleavages
related to age, geography, religion, gender, and other socioeconomic variables.
The main conclusion is that there has been no major realignment of voters along
these other dimensions comparable to the one observed in the case of education.
Younger voters are more likely to vote for social democratic and affiliated
parties, but this was already the case by a comparable magnitude in the 1950s.
Similarly, rural-urban and religious cleavages have remained stable or have
decreased in most countries in our data set: rural areas and religious voters
continue to be supportive of conservative parties, as they used to be in the
past. The major exception is gender, the only variable other than education for
which we find a clear reversal of electoral divides: in nearly all countries,
women used to be more conservative than men and have gradually become more
likely to vote for left-wing parties.

This article directly relates to the growing literature on the sources of
political change and the rise of “populism” in Western democracies. Recent
studies have emphasized the role of various economic and sociocultural factors,
including globalization and trade exposure (Malgouyres 2017; Colantone and
Stanig 2018a, 2018b; Autor et al. 2020), economic insecurity and unemployment
(Funke, Schularick, and Trebesch 2016; Algan et al. 2017; Becker, Fetzer, and
Novy 2017; Becker and Fetzer 2018; Fetzer 2019; Liberini et al. 2019; Guiso
et al. 2020; Dehdari forthcoming), immigration (Becker and Fetzer 2016; Halla,
Wagner, and Zweimüller 2017; Dustmann, Vasiljeva, and Damm 2019; Tabellini
2020), and cultural and moral conflicts (Norris and Inglehart 2019; Enke 2020;
Bonomi, Gennaioli, and Tabellini 2021). We contribute to this body of evidence
by adopting a broader, long-run historical perspective on the evolution of
political cleavages since the end of World War II. We find little evidence that
the shifts in electoral divides we observe were driven by single, major events
such as the end of the Cold War, the increasing salience of immigration since
the 2000s, trade shocks, or the 2007–2008 crisis. What seems to have happened
instead is a very progressive, continuous reversal of educational divides, which
unfolded decades before any of these events took place and has carried on
uninterruptedly until today.

We also contribute to the literature on multidimensional political competition
and its effect on redistribution and inequality. A key result from this
literature is that political support for redistribution should be inversely
proportional to the strength of other political cleavages crosscutting class
divides (Roemer 1998; Alesina, Baqir, and Easterly 1999; Roemer, Lee, and Van
der Straeten 2007; Bonomi, Gennaioli, and Tabellini 2021). The divergence of the
effects of income and education on the vote documented in this article, two
highly correlated measures of inequality, could contribute to explaining why the
rise of economic disparities in the past decades has not been met by greater
redistribution or renewed class conflicts.

Finally, this article relates to the large political science literature on the
determinants of the vote in comparative and historical perspective. Numerous
studies have highlighted that Western democracies have undergone a process of
growing polarization over a new “sociocultural,”
“universalistic-particularistic,” or “green/alternative/libertarian versus
traditional/authoritarian/nationalist” dimensions of political conflict in the
past decades (see Inglehart 1977; Kitschelt 1994; Hooghe, Marks, and Wilson
2002; Kriesi et al. 2008; Bornschier 2010a; Evans and De Graaf 2013; Dalton
2018; Norris and Inglehart 2019). There is also extensive evidence that
education has been playing a major role in restructuring electoral behaviors and
collective beliefs along this new dimension in recent decades (see Duch and
Taylor 1993; Van der Waal, Achterberg, and Houtman 2007; Stubager 2008, 2010,
2013; Bornschier 2010b; Dolezal 2010; Wille and Bovens 2012; Rydgren 2013, 2018;
Kitschelt and Rehm 2019; Langsæther and Stubager 2019; Ford and Jennings 2020).
We contribute to this literature by gathering the largest data set ever built on
the socioeconomic determinants of the vote in Western democracies;7 by focusing
explicitly on the distinction between income and education, two variables whose
effects are rarely studied jointly in comparative studies; and by directly
matching this data set with historical data on party ideology to document the
dynamic links between political supply and demand.8 In doing so, we confirm many
of the findings of the existing literature, but we also provide new insights
into the transformation of political cleavages in Western democracies. In
particular, for the first time we gather cross-country, long-run historical
evidence of a gradual dissociation of the effects of education and income on the
vote. This dissociation appears to have started as early as the 1950s and to
have unfolded uninterruptedly since then, and it can be related to the growing
salience of a large and complex set of policy issues, including the environment,
migration, gender, education, and merit, which divide voters along educational
but not income lines.

Section II presents the new data set exploited in this article. Section III
documents the divergence of the income and education effects and discusses the
role of green and anti-immigration parties in explaining the reversal of the
education cleavage. Section IV matches our survey data set with manifesto data
to study the link between this transformation and the emergence of a new axis of
political conflict. Section V explores alternative explanations and
heterogeneity in the reversal of the education cleavage and analyzes the
evolution of other determinants of electoral behaviors. Section VI concludes.


II. DATA AND METHODOLOGY


II.A. A NEW DATA SET ON POLITICAL CLEAVAGES IN WESTERN DEMOCRACIES, 1948–2020

The data set we exploit in this article consists of a collection of electoral
surveys conducted between 1948 and 2020 in Western democracies. These surveys
have one main point in common: they contain information on the electoral
behaviors of a sample of voters in the last (or forthcoming) election, along
with data on their main sociodemographic characteristics such as income,
education, or age. While they suffer from limitations typical to surveys (such
as small sample sizes), they provide an invaluable source for studying the
long-run evolution of political preferences in contemporary democracies.

1. UNIVERSE

Our area of study encompasses 21 countries commonly referred to as Western
democracies, for which we can cover a total of about 300 national elections (see
Table I). These include 17 Western European countries, the United States,
Canada, Australia, and New Zealand. For seven countries in our data set (France,
Germany, Italy, Norway, Sweden, the United Kingdom, and the United States),
available surveys allow us to go back as early as the 1950s. The majority of
remaining countries have data going back to the 1960s or the early 1970s, with
the exception of Spain and Portugal, which did not hold democratic elections
between the 1940s and the late 1970s.

Table I

A New Data set on Political Cleavages in Western Democracies, 1948–2020

. Time period . Elections . Main data source . Data quality . Avg. sample size
. Australia 1963–2019 18 Australian Election
Studies High 2,382 Austria 1971–2017 10 Eurobarometers, European Social
Survey Medium 3,831 Belgium 1971–2014 14 Belgian National Election
Study High 4,817 Canada 1963–2019 17 Canadian Election
Studies High 3,302 Denmark 1960–2015 21 Danish Election
Studies High 2,819 Finland 1972–2015 11 Finnish Voter
Barometers High 2,452 France 1956–2017 17 French Election
Studies High 3,208 Germany 1949–2017 19 German Federal Election
Studies High 2,782 Iceland 1978–2017 12 Icelandic National Election
Studies High 1,488 Ireland 1973–2020 13 Eurobarometers, European Social
Survey Medium 7,115 Italy 1953–2018 14 Italian National Election
Studies High 2,147 Luxembourg 1974–2018 9 Eurobarometers, European Election
Studies Low 3,890 Netherlands 1967–2017 15 Dutch Parliamentary Election
Studies High 2,068 New Zealand 1972–2017 16 New Zealand Election
Studies High 2,555 Norway 1957–2017 15 Norwegian Election
Studies High 1,964 Portugal 1983–2019 10 Portuguese Election
Studies High 1,822 Spain 1979–2019 14 CIS Election
Surveys High 8,996 Sweden 1956–2014 19 Swedish National Election
Studies High 3,088 Switzerland 1967–2019 14 Swiss Election
Studies High 3,328 United Kingdom 1955–2017 16 British Election
Studies High 5,262 United States 1948–2020 18 American National Election
Studies High 2,179 

. Time period . Elections . Main data source . Data quality . Avg. sample size
. Australia 1963–2019 18 Australian Election
Studies High 2,382 Austria 1971–2017 10 Eurobarometers, European Social
Survey Medium 3,831 Belgium 1971–2014 14 Belgian National Election
Study High 4,817 Canada 1963–2019 17 Canadian Election
Studies High 3,302 Denmark 1960–2015 21 Danish Election
Studies High 2,819 Finland 1972–2015 11 Finnish Voter
Barometers High 2,452 France 1956–2017 17 French Election
Studies High 3,208 Germany 1949–2017 19 German Federal Election
Studies High 2,782 Iceland 1978–2017 12 Icelandic National Election
Studies High 1,488 Ireland 1973–2020 13 Eurobarometers, European Social
Survey Medium 7,115 Italy 1953–2018 14 Italian National Election
Studies High 2,147 Luxembourg 1974–2018 9 Eurobarometers, European Election
Studies Low 3,890 Netherlands 1967–2017 15 Dutch Parliamentary Election
Studies High 2,068 New Zealand 1972–2017 16 New Zealand Election
Studies High 2,555 Norway 1957–2017 15 Norwegian Election
Studies High 1,964 Portugal 1983–2019 10 Portuguese Election
Studies High 1,822 Spain 1979–2019 14 CIS Election
Surveys High 8,996 Sweden 1956–2014 19 Swedish National Election
Studies High 3,088 Switzerland 1967–2019 14 Swiss Election
Studies High 3,328 United Kingdom 1955–2017 16 British Election
Studies High 5,262 United States 1948–2020 18 American National Election
Studies High 2,179 

Note. The table presents, for each country, the time coverage of the data set,
the number of elections covered, the main data source used, the quality of
electoral surveys, and the average sample size of these surveys.

Open in new tab
Table I

A New Data set on Political Cleavages in Western Democracies, 1948–2020

. Time period . Elections . Main data source . Data quality . Avg. sample size
. Australia 1963–2019 18 Australian Election
Studies High 2,382 Austria 1971–2017 10 Eurobarometers, European Social
Survey Medium 3,831 Belgium 1971–2014 14 Belgian National Election
Study High 4,817 Canada 1963–2019 17 Canadian Election
Studies High 3,302 Denmark 1960–2015 21 Danish Election
Studies High 2,819 Finland 1972–2015 11 Finnish Voter
Barometers High 2,452 France 1956–2017 17 French Election
Studies High 3,208 Germany 1949–2017 19 German Federal Election
Studies High 2,782 Iceland 1978–2017 12 Icelandic National Election
Studies High 1,488 Ireland 1973–2020 13 Eurobarometers, European Social
Survey Medium 7,115 Italy 1953–2018 14 Italian National Election
Studies High 2,147 Luxembourg 1974–2018 9 Eurobarometers, European Election
Studies Low 3,890 Netherlands 1967–2017 15 Dutch Parliamentary Election
Studies High 2,068 New Zealand 1972–2017 16 New Zealand Election
Studies High 2,555 Norway 1957–2017 15 Norwegian Election
Studies High 1,964 Portugal 1983–2019 10 Portuguese Election
Studies High 1,822 Spain 1979–2019 14 CIS Election
Surveys High 8,996 Sweden 1956–2014 19 Swedish National Election
Studies High 3,088 Switzerland 1967–2019 14 Swiss Election
Studies High 3,328 United Kingdom 1955–2017 16 British Election
Studies High 5,262 United States 1948–2020 18 American National Election
Studies High 2,179 

. Time period . Elections . Main data source . Data quality . Avg. sample size
. Australia 1963–2019 18 Australian Election
Studies High 2,382 Austria 1971–2017 10 Eurobarometers, European Social
Survey Medium 3,831 Belgium 1971–2014 14 Belgian National Election
Study High 4,817 Canada 1963–2019 17 Canadian Election
Studies High 3,302 Denmark 1960–2015 21 Danish Election
Studies High 2,819 Finland 1972–2015 11 Finnish Voter
Barometers High 2,452 France 1956–2017 17 French Election
Studies High 3,208 Germany 1949–2017 19 German Federal Election
Studies High 2,782 Iceland 1978–2017 12 Icelandic National Election
Studies High 1,488 Ireland 1973–2020 13 Eurobarometers, European Social
Survey Medium 7,115 Italy 1953–2018 14 Italian National Election
Studies High 2,147 Luxembourg 1974–2018 9 Eurobarometers, European Election
Studies Low 3,890 Netherlands 1967–2017 15 Dutch Parliamentary Election
Studies High 2,068 New Zealand 1972–2017 16 New Zealand Election
Studies High 2,555 Norway 1957–2017 15 Norwegian Election
Studies High 1,964 Portugal 1983–2019 10 Portuguese Election
Studies High 1,822 Spain 1979–2019 14 CIS Election
Surveys High 8,996 Sweden 1956–2014 19 Swedish National Election
Studies High 3,088 Switzerland 1967–2019 14 Swiss Election
Studies High 3,328 United Kingdom 1955–2017 16 British Election
Studies High 5,262 United States 1948–2020 18 American National Election
Studies High 2,179 

Note. The table presents, for each country, the time coverage of the data set,
the number of elections covered, the main data source used, the quality of
electoral surveys, and the average sample size of these surveys.

Open in new tab

Our focus is on national (general or presidential) elections, which determine
the composition of government and the head of the state. In the majority of
Western democracies, these elections have been held on a regular basis every
four or five years since at least the end of World War II. Depending on their
frequency and the availability of electoral surveys, we are able to cover
political attitudes in 9–21 of these elections in each country.

2. DATA SOURCES

Our primary data source consists in so-called national election studies, most of
which have been conducted by a consortium of academic organizations (see
Table I). The majority of these surveys are postelectoral surveys: they are
fielded shortly after the corresponding national election has been held, with
sample sizes generally varying between 2,000 and 4,000 respondents, and they
collect detailed information on voting behaviors and the sociodemographic
characteristics of voters.

In all Western democracies except Austria, Ireland, and Luxembourg we have been
able to get access to such high-quality data sources. For these three countries,
we rely on more general political attitudes surveys, which were not specifically
conducted in the context of a election but did ask respondents to report their
previous voting behaviors: the Eurobarometers, the European Social Survey, and
the European Election Studies. Furthermore, in a few countries such as Australia
or Belgium, where national election studies were not conducted before the 1970s
or 1980s, we complement them with other political attitudes surveys conducted in
earlier decades. Although these sources do not allow us to accurately track
election-to-election changes, they are sufficient to grasp long-run changes in
party affiliations, which is the objective of this study.9

3. HARMONIZATION

Starting from raw data files, we extract in each survey all sociodemographic
characteristics that are sufficiently common and well measured to be comparable
across countries and over time. Based on these criteria, we were able to build a
harmonized data set covering the following variables: income, education, age,
gender, religious affiliation, church attendance, race or ethnicity (for a
restricted number of countries), rural-urban location, region of residence,
employment status, marital status, union membership, sector of employment,
homeownership, self-perceived social class, and (in recent years) country of
birth.

Income and education, the two variables that form the core part of our analysis
in Section III, deserve special attention. Indeed, one reason income and
education variables are not often studied jointly in large-scale comparative
studies on electoral behaviors is that they tend to be difficult to harmonize.
Education systems and educational attainments vary significantly across
countries and over time, and they are not always perfectly comparable across
surveys. The same limitations apply to income, which is only collected in
discrete brackets in the majority of the sources used in this article.

We address this shortcoming by normalizing these two variables and focusing on
specific education and income deciles. Online Appendix A introduces the method
we use to move from discrete categories (education levels or income brackets) to
deciles. In broad strokes, our approach consists in allocating individuals to
the potentially multiple income or education deciles to which they belong, in
such a way that average decile-level vote shares are computed assuming a
constant vote share in each education- or income-year cell. This is a
conservative assumption, as vote shares for specific parties are likely to also
vary in education groups or income brackets. The levels and changes in education
and income cleavages documented herein should thus be considered as lower bounds
of the true effects of education and income on the vote.

Last, to make surveys more representative of election outcomes, we
systematically reweight respondents’ answers to match official election results.
Given that postelectoral surveys capture relatively well variations in support
for the different parties, this correction leaves our results unchanged in the
majority of cases.


II.B. PARTY CLASSIFICATION

Our objective is to compare the long-run evolution of electoral cleavages in
Western democracies. This requires grouping political parties in such a way that
the size of the coalitions considered and their historical affiliations are as
comparable and meaningful as possible. To do so, we make a distinction between
two large groups of parties in our main specification (see the coalitions
delineated by dashed lines in Figure IV).10

On one side of the political spectrum are social democratic, socialist,
communist, and green parties, often classified as left-wing and that we also
refer to as social democratic and affiliated parties in what follows. These
include the Democratic Party in the United States; labor parties in countries
such as the United Kingdom, Australia, or Norway; as well as various parties
affiliated to socialist and social democratic traditions in Western European
countries. It also includes environmental parties in their various forms,
together with several new left-wing parties that emerged after the 2008 crisis
(such as Podemos in Spain, Die Linke in Germany, or La France Insoumise in
France).

On the other side are conservative, Christian democratic, and anti-immigration
parties, often classified as right-wing and that we also refer to as
conservative and affiliated parties. These include the Republican Party in the
United States and other conservative parties such as those of the United
Kingdom, Norway, and Spain; Christian democratic parties, which are common in
Western European multiparty systems such as those of Austria, Belgium, and
Switzerland; and anti-immigration parties such as the French Rassemblement
National or the Danish People's Party. We also include parties commonly
classified as liberal or social-liberal in this group, such as the Liberal
Democrats in Britain, the Free Democratic Party in Germany, and the Liberal
Party in Norway, but our results are robust to not doing so.11

This binary classification has one major advantage: it allows us to directly
compare electoral divides in two-party systems, such as the United Kingdom or
the United States, to those observed in highly fragmented party systems such as
France or the Netherlands. Aggregating parties into two large groups of
comparable size in each country is thus useful to get a first perspective on the
long-run evolution of political cleavages that is consistent both over time and
across countries. These groups also correspond in many cases to the coalitions
of parties that have effectively built political majorities, whether in
coalition governments or through direct parliamentary support.

To make sure that this distinction between “left” and “right” is meaningful when
it comes to differentiating parties and voters, we contrast two indicators for
all parties: the average self-reported left–right position of voters supporting
each of these parties, and the score of each of these parties on the left–right
ideological index available from the Comparative Manifesto Project (CMP)
database. The first of these indicators is available in most postelectoral
surveys used in this article, which have directly asked respondents to position
themselves on a 0 (left) to 10 (right) scale. The second is a measure of
parties’ left–right positions that theoretically ranges from −100 (right) to 100
(left). It was first computed from manifesto data and validated by factor
analysis by Budge and Laver (1992), and it has been widely used in comparative
political science research since then (e.g., Evans and De Graaf 2013).

We find that our categorization of political parties into two groups is very
consistent with these two indicators. Every single party that we have classified
as “social democratic and affiliated” is supported by voters who declare being
more left-wing than the average voter and is more left-wing than the average
party on the CMP left–right ideological index.12 This is true for social
democratic and socialist parties, but also for green parties, which are all
ranked as left-wing in survey and manifesto data. The same holds in the case of
conservative, Christian democratic, and anti-immigration parties, which are
nearly all identified as more right-wing than the average party or voter.
Moreover, the two indicators of parties’ positions on a left–right scale are
also consistent with one another (the correlation between the variables is
0.82). We are thus confident that our classification is meaningful in terms of
both parties’ programmatic supply and voters’ own perceptions of the political
space.

That being said, we are not claiming that these two groups are ideologically or
programmatically homogeneous in any way, neither internally nor over time. Our
objective is, on the contrary, to document how such large families or parties
have aggregated diverse and changing coalitions of voters in the past decades.
In Section III, we thus consider in greater detail how specific subfamilies of
parties (in particular, green and anti-immigration movements) have contributed
to reshaping electoral divides in countries with multiparty systems.


II.C. EMPIRICAL STRATEGY

In the rest of the article, we present results from simple linear probability
models of the form:
yict= α+βxict+Cictγ+εict,yict= α+βxict+Cictγ+εict,
(1)
where yictyict is a binary outcome variable of interest (e.g., voting for
left-wing parties) for individual i in country c in election t, xictxict is a
binary explanatory variable of interest (e.g., belonging to top 10% educated
voters), and CictCict is a vector of controls.
In the absence of controls, the coefficient ββ simply equals the difference
between the share of top 10% educated voters voting for left-wing parties and
the share of other voters (bottom 90% educated voters) voting for left-wing
parties:
β = E(yict= 1, xict= 1)−E(yict= 1, xict= 0).β = E(yict= 1, xict= 1)−E(yict= 1, xict= 0).
(2)
With controls, the interpretation is also straightforward: all things being
equal, belonging to the top 10% of educated voters increases one's propensity to
vote for left-wing parties by ββ percentage points. All control variables in our
data set are specified as dummy variables, so the model is fully saturated and
can be estimated by OLS using heteroskedasticity-robust standard errors.


III. THE DISCONNECTION OF EDUCATION AND INCOME CLEAVAGES IN WESTERN DEMOCRACIES

This section presents our main results on the evolution of electoral divides
related to income and education. Section III.A documents the reversal of the
education cleavage and the stability of income divides. Section III.B studies
how the fragmentation of party systems and the rise of green and
anti-immigration parties has contributed to this transformation.


III.A. THE DIVERGENCE OF INCOME AND EDUCATION

To document the evolution of the influences of income and education on the vote,
we start by relying on a simple indicator: the difference between the share of
the 10% most educated voters and the share of the 90% least educated voters
voting for social democratic, socialist, communist, and green parties (that is,
ββ in equation (1)). We use the same indicator for income, defined as the
difference between the share of richest 10% voters and the share of poorest 90%
voters voting for social democratic and affiliated parties. These two indicators
have the advantage of measuring the evolution of the voting behaviors of two
groups of equal size, which makes the estimates more comparable.13

Figure I depicts the average quinquennial evolution of these indicators, after
controls, in the 12 Western democracies for which data is available since the
1960s.14 As shown in the upper line, highest-educated voters were less likely to
vote for social democratic parties than were lowest-educated voters by 15
percentage points in the 1960s. This gap has shifted very gradually from being
negative to becoming positive, from −10 in the 1970s to −5 in the 1980s, 0 in
the 1990s, +5 in the 2000s, and finally +10 in 2016–2020. Higher-educated voters
have thus moved from being significantly more right-wing than lower-educated
voters to significantly more left-wing, leading to a complete reversal in the
educational divide.

Figure I
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The Disconnection of Income and Education Cleavages in Western Democracies

In the 1960s, higher-educated and high-income voters were less likely to vote
for left-wing (social democratic/socialist/communist/green/other left-wing)
parties than were lower-educated and low-income voters by more than 10
percentage points. The left vote has gradually become associated with higher
education voters, giving rising to a complete divergence of the effects of
income and education on the vote. Figures correspond to five-year averages for
Australia, Britain, Canada, Denmark, France, Germany, Italy, the Netherlands,
Norway, Sweden, Switzerland, and the United States. Estimates control for
income/education, age, gender, religion, church attendance, rural/urban, region,
race/ethnicity, employment status, and marital status (in country-years for
which these variables are available). Data from World Political Cleavages and
Inequality Database.

Figure I
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The Disconnection of Income and Education Cleavages in Western Democracies

In the 1960s, higher-educated and high-income voters were less likely to vote
for left-wing (social democratic/socialist/communist/green/other left-wing)
parties than were lower-educated and low-income voters by more than 10
percentage points. The left vote has gradually become associated with higher
education voters, giving rising to a complete divergence of the effects of
income and education on the vote. Figures correspond to five-year averages for
Australia, Britain, Canada, Denmark, France, Germany, Italy, the Netherlands,
Norway, Sweden, Switzerland, and the United States. Estimates control for
income/education, age, gender, religion, church attendance, rural/urban, region,
race/ethnicity, employment status, and marital status (in country-years for
which these variables are available). Data from World Political Cleavages and
Inequality Database.

The evolution has been dramatically different in the case of income. The bottom
line shows that top-income voters have always been less likely to vote for
social democratic and affiliated parties than low-income voters. This gap has
decreased from −15 in the 1960s to about −10 in the past decade, but it remains
negative. High-income voters have thus remained closer to conservative parties
than low-income voters over the past 50 years.

Combining these two evolutions, a striking long-run transformation in the
structure of political cleavages emerges. In the early postwar decades, the
party systems of Western democracies were “class-based,” in the sense that
social democratic and affiliated parties represented both the low-education and
the low-income electorate, whereas conservative and affiliated parties
represented both high-education and high-income voters. These party systems have
gradually evolved toward what we propose to call “multiconflictual” or
“multi-elite” party systems: higher-educated voters now vote for the left, while
high-income voters still vote for the right.

Note that the two indicators in the figure control for all available variables
at the micro level (education/income, age, gender, religion, church attendance,
rural/urban location, region, race/ethnicity, employment status, and marital
status). The evolution of these indicators without controls displays a larger
decline in the influence of income on the vote, from nearly −20 in the 1960s to
about −5 in 2016–2020. The main reason is that higher-educated voters have on
average higher incomes, so the reversal of the educational divide has
mechanically led to a reduction in the difference between top-income and
low-income voters. Nonetheless, what is important for our analysis is that the
transition observed is robust to the inclusion or exclusion of controls.15

The divergence of divides related to income and education is common to nearly
all Western democracies, but it has happened at different speeds and with
different intensities. Figure II shows that the support of higher-educated
voters for social democratic parties was lowest in Norway, Sweden, and Finland
between the 1950s and 1970s, three democracies well known for having stronger
historical class-based party systems than most Western democracies. The reversal
of the education cleavage has not yet been fully completed in these countries,
as social democratic parties have managed to keep a nonnegligible fraction of
the low-income and lower-educated electorate (Martínez-Toledano and Sodano
2021).

Figure II
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The Reversal of Educational Divides in Western Democracies

The figure represents the difference between the share of higher-educated (top
10%) and lower-educated (bottom 90%) voters voting for social
democratic/socialist/communist/green/other left-wing parties in English-speaking
and Northern European countries (Panel A) and Continental and Southern European
countries (Panel B). In nearly all countries, higher-educated voters used to be
significantly more likely to vote for conservative parties and have gradually
become more likely to vote for these parties. Estimates control for income, age,
gender, religion, church attendance, rural/urban, region, race/ethnicity,
employment status, and marital status (in country-years for which these
variables are available). Data from World Political Cleavages and Inequality
Database.

Figure II
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The Reversal of Educational Divides in Western Democracies

The figure represents the difference between the share of higher-educated (top
10%) and lower-educated (bottom 90%) voters voting for social
democratic/socialist/communist/green/other left-wing parties in English-speaking
and Northern European countries (Panel A) and Continental and Southern European
countries (Panel B). In nearly all countries, higher-educated voters used to be
significantly more likely to vote for conservative parties and have gradually
become more likely to vote for these parties. Estimates control for income, age,
gender, religion, church attendance, rural/urban, region, race/ethnicity,
employment status, and marital status (in country-years for which these
variables are available). Data from World Political Cleavages and Inequality
Database.

This delay is also common to recent democracies, such as Spain or Portugal, or
late industrialized countries such as Ireland, where left-wing parties continue
to be more class-based. Portugal and to a lesser extent Ireland represent two
major exceptions in our data set, where we do not observe a clear tendency
toward a reversal of the educational divide. Among several factors, this unique
trajectory can be explained by the polarization of mainstream parties and the
success of new left-wing parties after the onset of the 2008 financial crisis
(Bauluz et al. 2021). In contrast, the gap in left votes between higher-educated
voters and lower-educated voters is today highest in countries such as the
United States, Switzerland, and the Netherlands, largely due to the particular
salience of identity-based concerns and the strength of anti-immigration and
green movements in the latter two countries (Durrer de la Sota, Gethin, and
Martínez-Toledano 2021).

Figure III shows that top-income voters have also remained more likely than
low-income voters to vote for conservative and affiliated parties in nearly all
Western democracies, but with important variations. The influence of income on
the vote was largest in northern European countries, Britain, Australia, and New
Zealand in the 1950s and 1960s, consistent with their histories of early
industrialization and class polarization. It has declined in these countries
since then, although income continues to be negatively associated with support
for the left.

Figure III
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The Stability/Decline of Income Divides in Western Democracies

The figure represents the difference between the share of high-income (top 10%)
and low-income (bottom 90%) voters voting for social
democratic/socialist/communist/green/other left-wing parties in English-speaking
and Northern European countries (Panel A) and Continental and Southern European
countries (Panel B). In all countries, top-income voters have remained
significantly less likely to vote for these parties than low-income voters.
Estimates control for education, age, gender, religion, church attendance,
rural/urban, region, race/ethnicity, employment status, and marital status (in
country-years for which these variables are available). Data from World
Political Cleavages and Inequality Database.

Figure III
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The Stability/Decline of Income Divides in Western Democracies

The figure represents the difference between the share of high-income (top 10%)
and low-income (bottom 90%) voters voting for social
democratic/socialist/communist/green/other left-wing parties in English-speaking
and Northern European countries (Panel A) and Continental and Southern European
countries (Panel B). In all countries, top-income voters have remained
significantly less likely to vote for these parties than low-income voters.
Estimates control for education, age, gender, religion, church attendance,
rural/urban, region, race/ethnicity, employment status, and marital status (in
country-years for which these variables are available). Data from World
Political Cleavages and Inequality Database.

Meanwhile, low-income voters have less decisively supported left-wing parties in
countries with weak historical class cleavages and crosscutting religious
(Italy) or ethnolinguistic (Canada) cleavages (Bauluz et al. 2021; Gethin 2021).
Despite these variations, the tendency of high-income voters to support the
right in contemporary Western democracies has proved remarkably resilient over
time, pointing to the persistence of conflicts over economic issues and
redistributive policy. The only country where a flattening of the income effect
could well be underway is the United States (as well as Italy, due to the recent
success of the Five Star Movement among the low-income electorate), where in
2016 and 2020, for the first time since World War II, top 10% earners became not
significantly less likely to vote for the Democratic Party.

Our findings on the reversal of educational divides and the stability of the
income effect are extremely robust to alternative specifications. The pattern
observed is virtually identical whether one considers the top 50% of education
and income voters, other discrete categories such as primary-educated voters or
university graduates, or continuous measures of education and income, before and
after controls.16 It also holds in absolute values, not only in relative terms:
between 1948–1960 and 2016–2020, for instance, the share of least educated 50%
voters voting for social democratic and affiliated parties declined from about
50% to 40%, whereas it rose linearly from 25% to almost 50% among the top 10%
educated (see Online Appendix Figure A29). We also find that our results hold
when considering a continuous measure of left-right voting derived from the CMP
database instead of a binary dependent variable (see Online Appendix Tables
D5–D8). Finally, we report in the Online Appendix full regression tables on the
determinants of the vote for social democratic and affiliated parties by
country, as well as simple descriptive statistics on support for these parties
by education level and income group in each country.17 With the exception of the
few cases highlighted above, we find a complete reversal of the education effect
and a stability of the income effect in nearly all countries, regardless of the
indicator considered to measure the influence of these two variables.18


III.B. THE FRAGMENTATION OF POLITICAL CLEAVAGE STRUCTURES

The emergence of multiparty systems has come together with a significant
reshuffling of political forces in most Western democracies. As shown in
Figure IV, traditional socialist and social democratic parties have seen their
average vote share across Western democracies decline from about 40% to 34%
since the end of World War II, and that received by Christian democratic and
conservative parties has decreased from 38% to 30%. Communist parties, who used
to gather 7% of the vote in the 1940s, have almost completely disappeared from
the political scene. Although immigration issues were already present in
political debates in many Western democracies, anti-immigration parties started
to grow in the late 1970s and have seen their support increase uninterruptedly
since then, reaching on average 11% of votes in the past decade. Green parties
made their entry in the political landscape in the 1970s and 1980s and have also
progressed steadily, reaching on average 8% of votes in the past decade. Support
for social-liberal and liberal parties has remained more stable, even though
there are important variations across countries.

Figure IV
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The Transformation of Western Party Systems, 1945–2020

The figure represents the average share of votes received by selected families
of political parties in Western democracies between the 1940s and the 2010s.
Communist parties saw their average scores collapse from 7% to less than 0.5%,
while green and anti-immigration parties rose until reaching average vote shares
of 8% and 11%, respectively. Decennial averages over all Western democracies
except Spain and Portugal (no democratic elections before 1970s) and the United
States and the United Kingdom (two-party systems). The dashed lines delimit the
categorization of parties considered in the main specification (social democrats
and affiliated, conservatives and affiliated, and other parties). Data from
official election results.

Figure IV
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The Transformation of Western Party Systems, 1945–2020

The figure represents the average share of votes received by selected families
of political parties in Western democracies between the 1940s and the 2010s.
Communist parties saw their average scores collapse from 7% to less than 0.5%,
while green and anti-immigration parties rose until reaching average vote shares
of 8% and 11%, respectively. Decennial averages over all Western democracies
except Spain and Portugal (no democratic elections before 1970s) and the United
States and the United Kingdom (two-party systems). The dashed lines delimit the
categorization of parties considered in the main specification (social democrats
and affiliated, conservatives and affiliated, and other parties). Data from
official election results.

Figure V displays the evolution of our previous education (Panel A) and income
(Panel B) indicators, decomposed for each family of parties from 1948 to 2020.
In the 1950s and 1960s, both top 10% educated voters and top 10% income voters
were significantly less likely to vote for social democratic, socialist,
communist, and other left-wing parties and more likely to vote for conservative,
Christian democratic, and liberal parties than other voters. By 2016–2020,
income continues to clearly distinguish these groups of parties, but their
education gradient has completely reversed. Meanwhile, support for
anti-immigration and green parties does not differ significantly across income
groups (their income gradient is close to zero), but it does vary substantially
across educational categories. This has been a constant fact since these parties
started taking on a growing importance in the political space in the 1970s and
1980s. In 2016–2020, top 10% educated voters were more likely to vote for green
parties by 5 percentage points and less likely to vote for anti-immigration
parties by a comparable amount. In other words, the increasing support for green
parties on the left and anti-immigration parties on the right has clearly
contributed to the reversal of the education cleavage. This finding is in line
with the large political science literature that has shown education to be an
important determinant of support for green and anti-immigration parties in
recent years (e.g., Dolezal 2010; Rydgren 2013, 2018; Abou-Chadi and Hix 2021).

Figure V
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Decomposition by Party Family

The figure represents the difference between the share of top 10% educated
voters and the share of bottom 90% educated voters voting for specific families
of parties. Figures correspond to five-year averages over all countries
available for a given time period (unbalanced panel of all 21 Western
democracies). Panel A: The estimates are presented after controlling for income,
age, gender, religion, church attendance, rural/urban, region, race/ethnicity,
employment status, and marital status (in country-years for which these
variables are available). Panel B: The estimates are presented after controlling
for education, age, gender, religion, church attendance, rural/urban, region,
race/ethnicity, employment status, and marital status (in country-years for
which these variables are available). Data from World Political Cleavages and
Inequality Database.

Figure V
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Decomposition by Party Family

The figure represents the difference between the share of top 10% educated
voters and the share of bottom 90% educated voters voting for specific families
of parties. Figures correspond to five-year averages over all countries
available for a given time period (unbalanced panel of all 21 Western
democracies). Panel A: The estimates are presented after controlling for income,
age, gender, religion, church attendance, rural/urban, region, race/ethnicity,
employment status, and marital status (in country-years for which these
variables are available). Panel B: The estimates are presented after controlling
for education, age, gender, religion, church attendance, rural/urban, region,
race/ethnicity, employment status, and marital status (in country-years for
which these variables are available). Data from World Political Cleavages and
Inequality Database.

We should stress, however, that the rise of new parties alone cannot explain the
reversal of the education cleavage for at least two reasons. First, this
reversal started several decades before most of these parties even existed: as
Figure V shows, we can date it back to as early as the 1950s. Second, as shown
in Figure V, there have been major transformations in the structure of the vote
for traditional left-wing and right-wing parties, too, even in the most recent
decades. One way to formally decompose the respective influences of traditional
left-wing parties and green parties in generating the reversal of the education
cleavage is to compare our main indicator of interest including and excluding
green parties from the analysis. We find that the gradient has moved from −19.1
to +8.2 between 1948–1960 and 2016–2020 when including green parties, and from
−19.1 to +4.3 when excluding them. In other words, the rise of green parties
explains about 15% of the reversal observed during this period, and it explains
about half of the positive link between education and support for the left in
the most recent years. The same holds when it comes to the increase in support
for anti-immigration parties in generating the reversal of the link between
education and support for the right: it explains about 14% of the overall shift
and 55% of the negative gradient in 2016–2020.19

Figure VI provides another perspective on this transformation by representing
the income and education gradients of these different families of parties in a
two-dimensional space in 1961–1965 (Panel A) and 2016–2020 (Panel B). In the
1960s, the effects of income and education on the vote were aligned: higher
income and higher education were both associated with higher support for
conservative and affiliated parties. By 2016–2020, these two variables now have
opposite effects: higher income is associated with higher support for
conservative parties, whereas higher education is associated with greater
support for social democratic parties. Anti-immigration and green parties differ
primarily in their tendency to attract voters belonging to different education
groups (they are distant on the x-axis but not on the y-axis).

Figure VI
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The Fragmentation of Political Cleavage Structures

The figure represents the difference between the share of high-income (top 10%)
and low-income (bottom 90%) voters voting for selected groups of parties on the
y-axis, and the same difference between higher-educated (top 10%) and
lower-educated (bottom 90%) voters on the x-axis. In the 1960s, social
democratic, socialist, and communist parties were supported by low-income and
lower-educated voters, while conservative, Christian, and liberal parties were
supported by high-income and higher-educated voters. By 2016–2020, education
most clearly distinguishes anti-immigration from green parties, while both
income and education most clearly distinguishes conservative and Christian
democratic parties from socialist, social democratic, and communist parties.
Averages over all Western democracies. Estimates control for income/education,
age, gender, religion, church attendance, rural/urban, region, race/ethnicity,
employment status, and marital status (in country-years for which these
variables are available). Data from World Political Cleavages and Inequality
Database.

Figure VI
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The Fragmentation of Political Cleavage Structures

The figure represents the difference between the share of high-income (top 10%)
and low-income (bottom 90%) voters voting for selected groups of parties on the
y-axis, and the same difference between higher-educated (top 10%) and
lower-educated (bottom 90%) voters on the x-axis. In the 1960s, social
democratic, socialist, and communist parties were supported by low-income and
lower-educated voters, while conservative, Christian, and liberal parties were
supported by high-income and higher-educated voters. By 2016–2020, education
most clearly distinguishes anti-immigration from green parties, while both
income and education most clearly distinguishes conservative and Christian
democratic parties from socialist, social democratic, and communist parties.
Averages over all Western democracies. Estimates control for income/education,
age, gender, religion, church attendance, rural/urban, region, race/ethnicity,
employment status, and marital status (in country-years for which these
variables are available). Data from World Political Cleavages and Inequality
Database.

Figure VII further decomposes this two-dimensional structure of political
conflict by country in the past decade, distinguishing between traditional
right-wing and left-wing parties in Panel A and between anti-immigration and
green parties in Panel B.20 The two-dimensional split of the electorate can be
seen in nearly all countries in our data set: social democratic and other
left-wing parties systematically make better relative scores among low-income
voters, conservative and other right-wing parties among high-income voters,
anti-immigration parties among lower-educated voters, and green parties among
higher-educated voters.21

Figure VII
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Decomposing Income and Education Cleavages

The figure represents the difference between the share of high-income (top 10%)
and low-income (bottom 90%) voters voting for selected groups of parties on the
y-axis, and the same difference between higher-educated (top 10%) and
lower-educated (bottom 90%) voters on the x-axis, in the last election available
(between 2014 and 2020). Estimates control for income/education, age, gender,
religion, church attendance, rural/urban, region, race/ethnicity, employment
status, and marital status (in country-years for which these variables are
available). Data from World Political Cleavages and Inequality Database.

Figure VII
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Decomposing Income and Education Cleavages

The figure represents the difference between the share of high-income (top 10%)
and low-income (bottom 90%) voters voting for selected groups of parties on the
y-axis, and the same difference between higher-educated (top 10%) and
lower-educated (bottom 90%) voters on the x-axis, in the last election available
(between 2014 and 2020). Estimates control for income/education, age, gender,
religion, church attendance, rural/urban, region, race/ethnicity, employment
status, and marital status (in country-years for which these variables are
available). Data from World Political Cleavages and Inequality Database.

Despite these commonalities, there are large differences across countries in
these indicators. In particular, while nearly all green parties make better
scores among higher-educated voters than among the lower educated, they differ
in their tendency to attract low- or high-income voters. Similarly,
anti-immigration parties have attracted a particularly high share of the
lower-educated vote in several Western democracies in the past decade, but we
also observe variations in the income profile of far-right voting. These
variations are likely to reflect cross-country differences in political
fragmentation and voting systems, which create different incentives for parties
of the traditional left and the traditional right to adapt their policy
proposals in the face of growing electoral competition from new political
movements. To better understand these dynamics and the role of political supply
in shaping education and income divides, we now turn to manifesto data.


IV. THE ORIGINS OF THE TRANSFORMATION OF POLITICAL CLEAVAGES: EVIDENCE FROM
MANIFESTO DATA

This section investigates the relationship between the divergence of income and
education cleavages and ideological polarization by matching our survey data set
with manifesto data. Section IV.A introduces the CMP data and the indicators we
consider. Section IV.B presents our results on the link between political supply
and demand.


IV.A. MANIFESTO PROJECT DATA AND METHODOLOGY

1. MANIFESTO DATA

To make a first step toward understanding the mechanisms underlying the
transformation documented in Section III, we match our survey data set with the
CMP (Volkens et al. 2020), a hand-coded historical database on the programmatic
supply of political parties. The CMP is the result of a collective effort to
collect and code the manifestos published by parties just before general
elections. Each manifesto is first divided into quasi-sentences conveying a
specific claim or policy proposal. These quasi-sentences are assigned to broad
ideological or policy categories using a common coding scheme. The resulting
data set presents itself in the form of items (such as “social justice” or “law
and order”), with scores corresponding to the share of quasi-sentences dedicated
to a specific issue in a party's manifesto. The CMP is the largest available
database on political programs in contemporary democracies at the time of
writing, and the only one covering nearly all elections held in our 21 countries
of interest since the end of World War II.

2. COMBINATION OF MANIFESTO AND SURVEY DATA

We proceed by matching one by one every party reported in both the CMP and our
data set. This was possible for a total of 459 parties, allowing us to cover
over 90% of votes cast in nearly all elections in the survey data. The remaining
correspond either to independent candidates, or to small parties for which data
was not available in the CMP. To the best of our knowledge, this represents the
most comprehensive mapping between political supply and demand ever built in
comparative research.

3. Indicators of Interest. Following the political science literature, we
consider two main indicators of political supply proposed by Bakker and Hobolt
(2013). The indicators correspond to parties’ positions on two axes of political
conflict: an “economic-distributive” axis representing divides over economic
policy and inequality, and a “sociocultural” axis mapping conflicts over issues
such as law and order, the environment, multiculturalism, or immigration.22

The economic-distributive indicator is equal to the difference between the
percentage of “pro–free-market” statements and “pro-redistribution” statements
in a given party's manifesto. Pro-redistribution emphases include proposals to
expand social services, nationalize industries, or enhance social justice.
Meanwhile, pro–free-market statements encompass references to the limitation of
social services, economic incentives, and free enterprise.

Conversely, the sociocultural indicator is defined as the difference between the
percentage of “progressive” emphases and “conservative” emphases. Conservative
emphases include categories such as political authority, positive evaluations of
traditional morality, or negative attitudes toward multiculturalism. Progressive
emphases cover issues related to environmentalism, the protection of minority
groups, or favorable mentions of multiculturalism.

Given that manifesto items sum by definition to 100%, both indicators
theoretically range from −1 to 1, with 1 representing a case of a party
exclusively emphasizing pro–free-market/conservative values, and −1 that of a
party exclusively emphasizing pro-redistribution/progressive values. Although
these measures of political ideology remain broad and are not exempt from
measurement error, they represent the best data at our disposal to study the
link between political supply and demand in the long run.

We also stress that by operating this distinction between economic and
sociocultural dimensions of political conflict, we are not suggesting that
sociocultural divides are purely conflicts over identity or morality that would
be fully exempt from material concerns. Immigration, environmental, and cultural
policies can have strong distributional implications, for instance by
disproportionally affecting low-skilled workers or by mostly benefiting
residents of large cities, who tend to concentrate a larger share of the
higher-educated electorate. In that respect, the emergence of a secondary
dimension of political conflict linked to education should also be understood as
incorporating new forms of socioeconomic cleavages.


IV.B. THE EVOLUTION OF IDEOLOGICAL POLARIZATION

How has the structure of economic and sociocultural conflicts changed in Western
democracies since the end of World War II, and to what extent can this account
for the growing disconnection between the influences of income and education on
the vote? Figure VIII provides a first answer to this question by displaying the
evolution of the average economic-distributive and sociocultural scores of
specific families of parties between 1945 and 2020.23 Indices are normalized by
the average score by decade so as to better highlight the dynamics of
polarization.

Figure VIII
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The Evolution of Ideological Polarization in Western Democracies, 1945–2020

Panel A displays the average economic-distributive scores by decade for four
families of parties across all Western democracies: social democratic,
socialist, communist, and other left-wing parties; conservative, Christian
democratic, and liberal parties; anti-immigration parties; and green parties.
Negative values on the economic-distributive index correspond to greater
proportions of pro-redistribution emphases relatively to pro-free-market
emphases. Panel B displays the average sociocultural scores by decade for the
four families of parties. Negative values on the sociocultural index correspond
to greater proportions of progressive emphases relatively to conservative
emphases. Indices are normalized by the average score by decade so as to better
highlight the dynamics of polarization. Data from the Comparative Manifesto
Project database.

Figure VIII
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The Evolution of Ideological Polarization in Western Democracies, 1945–2020

Panel A displays the average economic-distributive scores by decade for four
families of parties across all Western democracies: social democratic,
socialist, communist, and other left-wing parties; conservative, Christian
democratic, and liberal parties; anti-immigration parties; and green parties.
Negative values on the economic-distributive index correspond to greater
proportions of pro-redistribution emphases relatively to pro-free-market
emphases. Panel B displays the average sociocultural scores by decade for the
four families of parties. Negative values on the sociocultural index correspond
to greater proportions of progressive emphases relatively to conservative
emphases. Indices are normalized by the average score by decade so as to better
highlight the dynamics of polarization. Data from the Comparative Manifesto
Project database.

Polarization on economic issues has remained remarkably stable in the past
decades. The economic-distributive score of social democratic and socialist
parties has remained 9–14 points below average, while that of conservative
parties has fluctuated between +8 and +11. Green parties, which started gaining
electoral significance at the beginning of the 1980s, have held economic
positions that are comparable to that of traditional left-wing parties.
Anti-immigration parties have moved closer to the average position of
conservative parties, after a period of particularly marked emphasis on
pro–free-market policies. This is consistent with qualitative accounts of the
ideological transformation of far-right movements in Western Europe, from the
Freedom Party of Austria (Durrer de la Sota, Gethin, and Martínez-Toledano 2021)
to the French Rassemblement National (Piketty 2018) and the True Finns
(Martínez-Toledano and Sodano 2021), which have shifted to defending
redistributive economic policies in recent years.

Meanwhile, polarization on the sociocultural axis of political conflict has
dramatically risen since the 1970s, after a brief period of convergence in the
early postwar decades. This polarization has been driven by both old and new
parties. Between 1970 and 2020, social democratic and socialist parties
increasingly emphasized progressive issues, as their deviation from the mean
sociocultural score declined linearly from −0.6 to −5.4, while conservative
parties shifted to more conservative positions. Green parties have consistently
emphasized progressive issues to a much greater extent than other parties since
their emergence in the 1980s, with a stable score of about −25. Finally,
anti-immigration parties have seen their score on the sociocultural axis surge,
from +4 in the 1970s to +20 in the 2010s.

Beyond these two indicators of party ideology, we provide more detailed results
on the structure of the manifestos of each party family in the Online Appendix
(see Tables B3–B7). Two key results stand out from these disaggregated figures.
First, the conservative turn of anti-immigration and other right-wing parties
has been mainly driven by three items coded in the database: positive emphases
of national way of life (including appeals to nationalism and patriotism),
positive emphases of law and order (corresponding to favorable mentions of
strict law enforcement and stricter actions against crime), and negative
mentions of multiculturalism.24 Meanwhile, green and other left-wing parties
have dedicated a growing share of their manifestos to environmental issues and
to positive emphases of an anti-growth economy (including calls for a more
sustainable development path). Second, we find that left-wing and right-wing
parties continue to differ on many issues on the economic-distributive
dimension. In particular, green and other left-wing parties tend to put greater
emphasis on welfare, equality, and social justice, whereas the manifestos of
anti-immigration and other right-wing parties contain a larger share of
sentences promoting a free-market economy and welfare state limitation.


IV.C. IDEOLOGICAL POLARIZATION AND THE TRANSFORMATION OF ELECTORAL DIVIDES

The stability of economic-distributive conflicts and the rise of sociocultural
divides resonates well with our finding on the stability of the income gradient
and the reversal of the education cleavage. In particular, if the two phenomena
are related, one might expect to observe that (i) parties with more progressive
positions attract a relatively higher share of higher-educated voters, (ii) this
relation should rise over time as sociocultural issues gained prominence, and
(iii) countries that are more polarized on sociocultural issues should have
higher education gradients, thereby accounting for the cross-country variations
documented in Section III.

Figure IX provides descriptive evidence that the reversal of the education
cleavage and the rise of a second dimension of political conflict are tightly
associated. The upper line represents the correlation between the education
gradient of a given party and the sociocultural index of this party by decade,
computed across all parties available in the database. This correlation was
close to 0 and not statistically significant in the 1960s. It has risen
monotonically since then, from 0.1 in the 1970s to 0.3 in the 1990s and finally
0.46 in the past decade. Meanwhile, as represented in the bottom line, the
correlation between the income gradient and the position of a given party on the
economic-distributive axis has remained very stable and negative over the entire
period. In other words, higher-educated voters have gradually converged in
supporting parties with progressive positions, while high-income voters continue
to vote for parties with pro–free-market positions just as much as they used to
in the immediate postwar era.25

Figure IX
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Multidimensional Political Conflict and the Divergence of Income and Education
Cleavages

The upper line plots the raw correlation between the education gradient (defined
as the share of top 10% educated voters in the electorate of a given party) and
the sociocultural index across all parties in the database. The bottom line
plots the raw correlation between the income gradient (defined as the share of
top 10% income voters in the electorate of a given party) and the
economic-distributive index (inverted, so that higher values correspond to
greater pro-redistribution emphases). The unit of observation is the political
party. Error bars represent 95% confidence intervals. Data from the World
Political Cleavages and Inequality Database and the Comparative Manifesto
Project.

Figure IX
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Multidimensional Political Conflict and the Divergence of Income and Education
Cleavages

The upper line plots the raw correlation between the education gradient (defined
as the share of top 10% educated voters in the electorate of a given party) and
the sociocultural index across all parties in the database. The bottom line
plots the raw correlation between the income gradient (defined as the share of
top 10% income voters in the electorate of a given party) and the
economic-distributive index (inverted, so that higher values correspond to
greater pro-redistribution emphases). The unit of observation is the political
party. Error bars represent 95% confidence intervals. Data from the World
Political Cleavages and Inequality Database and the Comparative Manifesto
Project.

We also investigate in greater detail how these correlations vary across all
items available in the CMP database.26 We find that the transformation
documented above is visible in nearly all subcategories. In the 1960s–1970s, the
education gradient was not significantly correlated to any of the items
composing the sociocultural index. By 2010–2020, it has become strongly
negatively correlated to positive emphases of law and order, national way of
life, and traditional morality, and to negative mentions of multiculturalism. At
the same time, it has become strongly positively correlated to positive emphases
of culture, anti-growth economy, freedom and human rights, environmentalism, and
multiculturalism. These results suggest that the emergence of a new
sociocultural axis of political conflict cannot be narrowed down to a single
topic of divergence: it involves conflicting visions and priorities over a
complex and diverse set of issues.

Figure X plots the cross-country relation between a simple measure of
ideological polarization, defined as the standard deviation of the sociocultural
index across all parties in a given election, and the education gradient in the
past decade. The relation between the two indicators is strongly positive:
countries in which parties compete more on sociocultural issues also display a
greater propensity of higher-educated voters to support social democratic,
socialist, green, and affiliated parties. In particular, we see that Portugal
and Ireland, which were identified as exceptions showing no clear trend toward a
reversal of the education cleavage, are the countries where sociocultural
polarization is today the lowest.27 Although the small number of countries makes
it difficult to precisely identify the evolution of this relationship, we also
find that it has grown over time, in line with our party-level analysis.28

Figure X
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Sociocultural Polarization and Educational Divides

The figure represents the relationship between sociocultural polarization
(defined as the standard deviation of the sociocultural index across all parties
in a given country) and the education cleavage for all 21 Western democracies in
the 2010s. Higher-educated voters are significantly more likely to support
left-wing parties in countries where polarization on the sociocultural axis is
higher. Data from the World Political Cleavages and Inequality Database and the
Comparative Manifesto Project.

Figure X
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Sociocultural Polarization and Educational Divides

The figure represents the relationship between sociocultural polarization
(defined as the standard deviation of the sociocultural index across all parties
in a given country) and the education cleavage for all 21 Western democracies in
the 2010s. Higher-educated voters are significantly more likely to support
left-wing parties in countries where polarization on the sociocultural axis is
higher. Data from the World Political Cleavages and Inequality Database and the
Comparative Manifesto Project.

Results combining data on political supply and demand therefore suggest that the
emergence of a new sociocultural axis of political conflict is tightly linked to
the reversal of the education cleavage in Western democracies. As parties have
progressively come to compete on sociocultural issues, electoral behaviors have
become increasingly clustered by education group. This relation holds at the
country level, with the divergence between education and income being more
pronounced in democracies where parties compete more fiercely on this new
dimension of electoral divides.


V. ELECTORAL CHANGE IN WESTERN DEMOCRACIES: ALTERNATIVE EXPLANATIONS AND OTHER
DIMENSIONS OF POLITICAL CONFLICT

This section studies alternative explanations and heterogeneity in the reversal
of the education cleavage and analyzes other dimensions of political conflict.
Section V.A investigates the extent to which the reversal of educational divides
can be explained by changes in the composition of education groups. Section V.B
explores heterogeneity in this reversal in terms of age, gender, religion, and
other variables in our data set. Section V.C briefly discusses the evolution of
other electoral cleavages in Western democracies, independently from education
and income.


V.A. CAN COMPOSITIONAL CHANGES EXPLAIN THE REVERSAL OF EDUCATIONAL DIVIDES?

In previous sections, we studied the reversal of the education cleavage across
all Western democracies, with little consideration for changes in the link
between education and the other variables in our data set. Although we have
shown that this reversal is robust to accounting for all available controls, the
extent to which shifts in the composition of education groups could account for
some of the transformation remains unclear. It is well known, for instance, that
women have become both more educated (e.g., Vincent-Lancrin 2008; Parro 2012;
Riphahn and Schwientek 2015) and more left-wing than men in the past decades
(see Section V.C). The realignment of gender divides could thus have contributed
to generating the move of higher-educated voters toward social democratic and
affiliated parties. Similarly, the secularization of Western societies and the
associated increase in the share of nonreligious voters, who tend to be more
educated, could have facilitated the transformation of the education cleavage.

To investigate the role of these various factors, we conduct two complementary
analyses: a comparison of the education gradient before and after controls, and
a Kitagawa-Oaxaca-Blinder decomposition of the education cleavage. To derive
meaningful comparisons, we restrict the analysis in this section to countries
for which we have data since the 1960s and the richest comparable set of
covariates (Australia, Denmark, Finland, France, the Netherlands, Norway, New
Zealand, Sweden, the United Kingdom, and the United States).

We find that including control variables only marginally affects the overall
change in the link between education and the vote of the past decades (see
Online Appendix Table D9). More precisely, the top 10% educated voters were less
likely to vote for social democratic and affiliated parties by 21.6 percentage
points in the 1960s, while they were more likely to do so by 5.3 points in the
2010s. This represents an overall change in the education gradient of 26.9
percentage points. Adding controls does slightly affect the level of the
coefficient, but it does not significantly affect the trend: the education gap
after controlling for all available covariates has moved from about −18.8 to
3.6, amounting to a shift of 22.4 percentage points. By this measure, changes in
the composition of education groups can only account for about 16% of the
transformation of educational divides.

Another, more formal way of evaluating what fraction of the reversal is due to
changes in the composition of groups is to directly estimate a two-way
Kitagawa-Oaxaca-Blinder decomposition of the education gradient (Kitagawa 1955;
Blinder 1973; Oaxaca 1973). This allows us to decompose the marginal effect of
education into two components: one that can be explained by group differences in
predictors (that is, differences in the composition of education groups in terms
of age, gender, etc.), and one that remains unexplained. As before, we find that
other variables largely fail to account for the reversal of educational divides:
the actual coefficient shifts from −22.5 to +10.4 between 1961–1965 and
2016–2020 (corresponding to a 32.9-point change), while the unexplained
component increases from −19.6 to +7.6 (corresponding to a 27.2-point change).29
This implies that these covariates can only predict 17% of the reversal observed
over the period considered.


V.B. HETEROGENEITY IN THE REVERSAL OF EDUCATIONAL DIVIDES

Although compositional changes only explain between 16% and 17% of the reversal
of the educational divide, we find some heterogeneity in the reversal when
further decomposing voters into subgroups by different socioeconomic
characteristics.

In particular, generational dynamics appear to have played a major role in the
reversal of the education cleavage. Figure XI decomposes the evolution of the
education gradient by cohort of voters born at different decades of the
twentieth century. Higher-educated voters have been more likely to vote for
social democratic and affiliated parties than lower-educated voters in
generations born after the 1940s, and the opposite is true among generations
born before World War II. New generations have thus become increasingly divided
along educational lines, suggesting that the education cleavage could continue
rising in the future, as old generations voting along historical class lines
gradually disappear from the political landscape. The reversal of the education
cleavage has, however, also taken place within recent cohorts, which points to
the role of other factors potentially related to political supply or ideological
change, as documented in Section IV.

Figure XI
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Generational Dynamics and Educational Divides: The Education Cleavage by Birth
Cohort

The figure represents the difference between the share of higher-educated (top
10%) and lower-educated (bottom 90%) voters voting for social
democratic/socialist/communist/green parties in specific cohorts of voters.
Between the 1960s and the 1990s, lower-educated voters born in the early decades
of the twentieth century remained significantly more likely to vote for these
parties than were higher-educated voters born in the same period. In the past
decade, on the contrary, young lower-educated voters were significantly less
likely to vote for these parties than were young higher-educated voters. Figures
correspond to 10-year averages for Australia, Britain, Canada, Denmark, France,
Germany, Italy, the Netherlands, Norway, Sweden, Switzerland, and the United
States. Data from World Political Cleavages and Inequality Database.

Figure XI
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Generational Dynamics and Educational Divides: The Education Cleavage by Birth
Cohort

The figure represents the difference between the share of higher-educated (top
10%) and lower-educated (bottom 90%) voters voting for social
democratic/socialist/communist/green parties in specific cohorts of voters.
Between the 1960s and the 1990s, lower-educated voters born in the early decades
of the twentieth century remained significantly more likely to vote for these
parties than were higher-educated voters born in the same period. In the past
decade, on the contrary, young lower-educated voters were significantly less
likely to vote for these parties than were young higher-educated voters. Figures
correspond to 10-year averages for Australia, Britain, Canada, Denmark, France,
Germany, Italy, the Netherlands, Norway, Sweden, Switzerland, and the United
States. Data from World Political Cleavages and Inequality Database.

We find some heterogeneity in the education gradient across other subgroups of
voters (see Online Appendix Table D10). In the 2010s, the educational divide is
higher among men than women, among nonreligious voters than religious voters,
among public sector than private sector employees, and in rural areas than in
urban areas. The reversal in the educational divide has also been highest among
nonreligious voters and among men, although it has occurred in nearly all
groups. Overall, this evidence reveals that although there exist interesting
heterogeneities, the reversal of the educational divide has been a widespread
phenomenon that is not restricted to a particular subgroup of voters.


V.C. THE EVOLUTION OF OTHER ELECTORAL CLEAVAGES

We conclude by briefly discussing the evolution of other determinants of
electoral behaviors. Our main finding is that there has been either a stability
or a decline of their effect on vote choices. The major exception is gender, for
which we find a significant reversal, comparable in magnitude to that of the
education cleavage.

1. Generational Cleavages. Young voters have always been more likely to vote for
left-wing parties than older cohorts in the majority of Western democracies.
However, while there are fluctuations across countries and over time, we do not
find any evidence that this cleavage has deepened in recent decades (see Online
Appendix Figures CA1–CA4). We also document variations in the profile of the
vote for anti-immigration parties by age across Western democracies: the share
of votes received by these parties increases with age in Denmark, Italy, Norway,
New Zealand, Switzerland, and Sweden, but it clearly decreases with age in
Austria, Spain, Finland, and France (see Online Appendix Figures CA5–CA7). These
findings call into question the strand of the political science literature that
has argued that political change in Western democracies would have a major
generational dimension, and that the emergence of populist authoritarian leaders
in recent years would have partly represented a “backlash” against social
progress among the older generations (see Inglehart 1977; Norris and Inglehart
2019). As shown in the previous section, educational divides within recent
cohorts, rather than conflicts between generations, seem to represent a more
important source of electoral realignment in contemporary democracies.

2. Rural-Urban Cleavages. We find that rural-urban divides have remained
relatively stable in the past seven decades: rural areas continue to be more
likely to vote for conservative and affiliated parties by 5 to 15 percentage
points in most Western democracies, just as they used to in the 1950s and 1960s
(see Online Appendix Figure CB1). Furthermore, the fragmentation of the
political space in multiparty systems has been associated with a reshuffling of
rural-urban divides within rather than across left–right blocs: support for
green parties tends to be concentrated in cities today, just like other
left-wing parties, while anti-immigration parties generally fare better in rural
areas, as is the case of other conservative parties. The stability of the
rural-urban cleavage thus rules out this dimension as the primary driver of
electoral change since the end of World War II.30

3. Religious Cleavages. Religious divides do not seem to have undergone any
clear reversal in the past decades either. In all countries with available data,
religious voters have always been much less likely to vote for social democratic
and affiliated parties than nonreligious voters (see Online Appendix
Figure CC1). This gap has slightly declined in most countries since the 1960s,
but it remains decisively negative. Moreover, although green movements often
disproportionately attract nonreligious individuals, this does not make them
very different from other left-wing parties, which have always found greater
support among secular voters. Support for anti-immigration parties appears to
vary little across religious groups in most countries, so that their progression
in recent decades has contributed to further weakening the religious cleavage
(see Online Appendix Figure CC5 for green parties and CC6 for anti-immigration
parties).

4. Gender Cleavages. We also corroborate across all Western democracies a
well-known fact (Inglehart and Norris 2000; Edlund and Pande 2002; Abendschön
and Steinmetz 2014): women used to be more conservative than men and have
gradually become more likely to vote for social democratic and affiliated
parties (see Online Appendix Figure CD2). This transition, as in the case of the
education cleavage, has been very gradual and is visible as early as the 1950s.
In line with the existing literature, we find that much of the negative gradient
of the early postwar decades can be explained by the fact that women used to be
more religious than men (Blondel 1970; Goot and Reid 1984). In particular, this
explains why the gender divide was exceptionally large in Italy in the 1950s,
where religious cleavages were historically more pronounced than in most Western
democracies. However, the reversal holds even after controlling for all
available variables (see Online Appendix Figures CD1 and CD3). Along with
education, gender is thus one of the only two variables in our data set for
which a complete reversal of electoral divides seems to have taken place.31

5. Other Socioeconomic Cleavages. Finally, our data set also makes it possible
to study the evolution of the vote by union membership, public-private sector of
employment, and homeownership. Union members have always been more likely to
vote for social democratic and affiliated parties than nonunion members,
although this gap has slightly declined in most Western democracies since the
1960s (see Online Appendix Figures CF5 (before controls) and CF6 (after
controls)). This is also the case for public-sector workers and homeowners, who
have remained more supportive of social democratic and affiliated parties than
other voters in the past decades.32


VI. CONCLUSION

The new historical database on political cleavages in 21 Western democracies
introduced in this article reveals some important facts. In the early postwar
decades, social democratic and affiliated parties represented the low-education
and the low-income electorates, whereas conservative and affiliated parties
represented high-education and high-income voters. These party systems have
gradually evolved toward “multiconflictual” or “multi-elite” party systems in
most Western democracies, in which higher-educated voters vote for the “left,”
whereas high-income voters still vote for the “right.”

Results combining our database on political demand with political supply data
from the CMP suggest that the emergence of a new sociocultural axis of political
conflict has been tightly associated with the reversal of the education cleavage
in Western democracies. As parties have progressively come to compete on
sociocultural issues, electoral behaviors have become increasingly clustered by
education group. This transformation has been most pronounced in democracies
where parties compete most fiercely on this new dimension of electoral divides.

The divergence of political conflicts related to income and education documented
in this article, two strongly correlated measures of socioeconomic status could
also contribute to explaining why rising income and wealth disparities have not
led to renewed class conflicts. It might shed light on the reasons growing
inequalities have not been met by greater redistribution in many countries, as
political systems could come to increasingly oppose two coalitions embodying the
interests of two kinds of elites.

Although multiple lessons have emerged from this new database, we acknowledge
that the analysis remains insufficient and is not exempted from limitations.
First, the indicators of political supply used and more generally the CMP data
capture the tendency of parties to emphasize specific issues and are therefore
unable to perfectly measure their position on these issues. Moreover, the policy
categories coded in the CMP database unfortunately remain very broad, which
precludes us from analyzing in greater detail more specific types of issues such
as gender equality, immigration, trade protectionism, or education policy.
Addressing these shortcomings would require going back to the original
manifestos and deriving new indicators from text analysis or alternative coding
techniques.

Second, although our descriptive analysis has provided suggestive evidence that
the reversal of the education cleavage and the rise of a new sociocultural axis
of political conflict were interrelated phenomena, much remains to be understood
when it comes to the mechanisms underlying this transformation. In particular,
it remains unclear whether the reversal of educational divides was driven by a
change in political supply independently from the structure of collective
beliefs or whether shifting supply was on the contrary driven by changing social
attitudes across education groups. While some studies have suggested that social
divides between groups have remained stable on a number of issues in the long
run (e.g., Evans and Tilley 2017; Bertrand and Kamenica 2018), which would point
to the role of shifts in supply, the data at our disposal does not allow us to
disentangle these different channels of causality. A promising avenue for future
research lies in establishing more directly the causal impact of political
supply on the transformation of political cleavages. This would require
identifying quasi-experimental settings in which parties exogenously change
position on specific issues or suddenly move to emphasizing new concerns.

Finally, the electoral surveys exploited in this article rely on samples of a
few thousands of voters available since the end of World War II that are
sufficient to reveal major trends at the national level, but prevent us from
carrying out more refined and long-run analyses. Other sources and methods, such
as localized election results linked to census data, could be mobilized to
broaden the historical perspective and perform more granular analyses.

All of these issues raise important challenges that we hope will contribute to
stimulating new research in these multiple directions.


DATA AVAILABILITY

Data and code replicating tables and figures in this article can be found in
Gethin, Martínez-Toledano, and Piketty (2021b) in the Harvard Dataverse,
https://doi.org/10.7910/DVN/XUSWG6.


FOOTNOTES

*

We are grateful to Luis Bauluz, Carmen Durrer de la Sota, Fabian Kosse, Marc
Morgan, and Alice Sodano for their help in building the data set exploited in
this article. We thank the editors, Nathan Nunn, Lawrence Katz, and Andrei
Shleifer; six anonymous referees; Thomas Blanchet, Lucas Chancel, Ignacio
Flores, Javier Padilla, Tom Raster, and Till Weber; and seminar and conference
participants from the Paris School of Economics Applied Economics Lunch Seminar
and the CUNY Graduate Center Comparative Politics Workshop for helpful comments.
We acknowledge financial support from the Agence Nationale de la Recherche under
the framework of the Investissements d’avenir programme reference
ANR-17-EURE-001.

1.

This article is part of a broader collective project dedicated to tracking
political cleavages in 50 democracies throughout the world: see Gethin,
Martínez-Toledano, and Piketty (2021a). Several chapters of this volume are
dedicated to discussing at greater length the results introduced here in the
case of specific countries, in particular Bauluz et al. (2021); Durrer de la
Sota, Gethin, and Martínez-Toledano (2021); Gethin (2021); Kosse and Piketty
(2021); Martínez-Toledano and Sodano (2021); and Piketty (2021). See also
Piketty (2020). All the data series, computer codes, and microfiles of this
collaborative project can be publicly accessed online as part of the World
Political Cleavages and Inequality Database (http://wpid.world).

2.

We include parties commonly classified as liberal or social-liberal in this
latter group, such as the Liberal Democrats in Britain and the Free Democratic
Party in Germany. In Section II.B, we perform several robustness checks to
ensure that our classification is consistent in terms of parties’ programmatic
supply and voters’ own perceptions of the political space.

3.

In India's traditional caste system, upper castes were divided into Brahmins
(priests, intellectuals) and Kshatryas/Vaishyas (warriors, merchants,
tradesmen), a division that modern political conflicts in Western democracies
seem to follow to some extent.

4.

A large literature in economics and political science has documented the
existence of unequal political representation and the distortion of politicians’
and legislators’ beliefs toward their most privileged constituencies: see Adams
and Ezrow (2009); Gilens (2012); Bonica et al. (2013); Gilens and Page (2014);
Kuhner (2014); Bartels (2017); Bertrand et al. (2020); Cagé (2020); Pereira
(2021).

5.

This risk was identified as early as in 1958 by Michael Young in his famous
dystopia about “the rise of the meritocracy.” Young expresses doubts about the
ability of the British Labour Party (of which he was a member) to keep the
support of lower-educated classes in case the party fails to combat what he
described as the rise of “meritocratic ideology” (a strong view held by higher
education achievers about their own merit, which Young identified as a major
risk for future social cohesion). For a simple theoretical model along these
lines, see Piketty (2018, section 5). It is based on a two-dimensional extension
of Piketty (1995)’s model about learning the role of effort and a distinction
between education-related effort and business-related effort. The model can
account for the simultaneous existence of Brahmin left voters (i.e., dynasties
believing strongly in the role of education-related effort) and Merchant right
voters (i.e., dynasties believing strongly in the role of business-related
effort).

6.

See Piketty (2018), figures A1 and A2. Turnout rates among bottom 50% voters
have always been relatively low in the United States (at least after World War
II). To some extent the British and French pattern has moved toward the U.S.
pattern since the 1970s and 1980s. Unfortunately, the surveys at our disposal do
not allow us to consistently analyze the evolution of turnout in our sample of
21 countries, so we do not push our analysis of turnout any further.

7.

Our work directly draws on previous data collection and harmonization efforts.
See in particular Franklin et al. (1992), Thomassen (2005), Elff (2007), Evans
and De Graaf (2013), Bosancianu (2017), Schmitt (2021), and the collections of
postelectoral surveys compiled by the Comparative Study of Electoral Systems
(http://cses.org) and the Comparative National Elections Project
(https://u.osu.edu/cnep/).

8.

In matching survey and manifesto data, we follow recent political science
studies seeking to understand how political supply influences class and
religious divides. See in particular Elff (2009); Jansen, de Graaf, and Need
(2011, 2012); Evans and Tilley (2012, 2017); Evans and de Graaf (2013); Jansen,
Evans, and de Graaf (2013); and Rennwald and Evans (2014).

9.

A complete list of all data sources used by country can be found in Online
Appendix Table A1.

10.

See Online Appendix Tables A2 and A3 for more information on the classification
of the main parties in each country. Parties not classified in either of these
groups mainly correspond to independent candidates and regional parties (such as
the Bloc Québécois in Canada or the Scottish National Party). These parties or
candidates have received about 7% of votes since 1945, with no clear trend (see
Figure IV).

11.

The exceptions are Austria, Canada, Denmark, and the Netherlands, for which we
classify as “left-wing” parties generally considered to be liberal (NEOS in
Austria, the Liberal Party in Canada, the Social Liberal Party in Denmark, and
D66 in the Netherlands). This choice is motivated by our objective to compare
coalitions of significant and comparable size across countries. Liberal parties
have received about 10% of the vote in Western democracies since 1945 (see
Figure IV), with no clear trend, and have consistently been supported by both
high-income and higher-educated voters (see Online Appendix Figures A26 and
A28). Our results are thus robust to excluding them or not from the analysis.

12.

See Online Appendix Figures B16 and B17. The one single exception here is Fianna
Fáil in Ireland, which we still choose to classify with left-wing parties to
study a coalition of sufficient size (if we were to exclude it, the total vote
share of the “left” would fall below 30% throughout the period considered).

13.

As discussed in Section II.A, deciles of education are computed using all
educational categories available in surveys, which implies that the composition
of “top 10% educated voters” changes over time. At the beginning of period, this
category is mainly composed of university graduates and voters with secondary
education; in the 2010s, it gives more weight to individuals with master’s or
doctorates. See Online Appendix A for more details.

14.

The corresponding regression coefficients by country and decade are displayed in
Online Appendix Tables D1 and D2.

15.

See Online Appendix Figure A1. We come back to the influence of other covariates
in generating the evolution of the education cleavage in Section V.

16.

See Online Appendix Figures A5–A20. Continuous measures of income and education
are derived as the rank of individuals in the income and education
distributions, defined from all available income brackets and education
categories available in each survey. If 25% of voters are primary educated, 50%
are secondary educated, and 25% are tertiary educated, for instance, then voters
belonging to each of these categories are attributed quantile values of 0, 0.25,
and 0.75, respectively.

17.

Regression results by country are reported in Online Appendix Tables E1–E21,
descriptive statistics by education group in Online Appendix Figures EA1–EA21,
and descriptive statistics by income group in Online Appendix Figures EB1–EB21.

18.

In some cases, the effect of income is nonlinear, especially at the beginning of
the period: support for left-wing parties is higher among middle-income groups
than at the bottom of the distribution. This is mainly because farmers and the
self-employed, many of whom have low incomes, have always been substantially
more likely to vote for conservative parties. However, income remains an only
imperfect and partial measure of economic resources. In particular, we find in
the case of France (the only country with high-quality wealth data) that the
effect of wealth on support for the left is much larger and linear, and has
remained more stable in the past decades (see Online Appendix Figures EC1 and
EC2).

19.

See Online Appendix Figures A25 (left-wing parties) and A26 (right-wing
parties).

20.

The corresponding regression coefficients by country and decade, after controls,
are displayed in Online Appendix Tables D3 and D4.

21.

In Italy and New Zealand, lower-educated voters are not significantly more or
less likely to vote for anti-immigration parties. In Italy, this is driven by
the fact that support for Fratelli d’Italia (which we classify as an
anti-immigration party alongside the Lega) was particularly concentrated among
higher-educated voters in the 2018 election. In New Zealand, the only
significant anti-immigration party, New Zealand First, receives support mainly
from the Māori minority and is often considered to be a centrist party, which
may explain why its position on the income-education quadrant differs from that
of other anti-immigration parties (Gethin 2021).

22.

The manifesto items used to derive these two indicators are reported in Online
Appendix Table B1.

23.

The underlying figures are reported in Online Appendix Table B2. See Online
Appendix Figures B2–B8 for a complete representation of the political space by
decade.

24.

Consistent with the idea that new ethnoreligious minorities perceive
conservative and anti-immigration parties as particularly hostile to their
integration, we find that immigrants and Muslim voters have been substantially
more likely to vote for social democratic and affiliated parties than other
voters in the past decade (see Online Appendix Figures CE1 and CE2). We also
find deep and persistent divides between voters belonging to different racial or
ethnic groups in countries with available data (see Online Appendix Tables E14,
E20, and E21).

25.

This transformation is robust to controlling for the composition of parties’
electorates in terms of other variables, as well as to accounting for country,
year, and election fixed effects (see Online Appendix Table B9).

26.

See Online Appendix Table B10, which reports correlation coefficients between
all items available in the CMP data set and our education and income indicators.

27.

Notice that the indicator mechanically overestimates polarization in highly
fragmented party systems such as that of Denmark, whereas it underestimates it
in countries with fewer parties, such as the United Kingdom, New Zealand, and
the United States. This may explain why these countries have lower levels of
sociocultural polarization than one might expect.

28.

See Online Appendix Figure B15, which reproduces Figure VIII at the country
level.

29.

This decomposition is represented in Online Appendix Figure A51.

30.

The share of votes received by green and anti-immigration parties by rural-urban
location is represented in Online Appendix Figures CB2 and CB3, respectively.
Notice that a few Western democracies (in particular Australia, Belgium,
Britain, and France) seem to have witnessed a significant transformation of
center-periphery cleavages in recent years, as left-wing parties have
concentrated a growing share of the vote in capital cities (see Online Appendix
Figures CB4–CB8).

31.

Several explanations have been given to this reversal. In the United States and
Western Europe, the decline of marriage, the rise of divorce, and the economic
fragility of women have been shown to be important drivers behind the emergence
of the modern gender gap (Edlund and Pande 2002; Abendschön and Steinmetz 2014).
In Northern Europe, the expansion of women's employment in the public sector has
also been an important factor behind the increase in the vote for the left among
women in recent decades (Knutsen 2001; we reproduce this result in Online
Appendix Figure CD4). Women have also been more attracted by environmental
issues, which have spurred women's support for green parties, while
anti-immigration parties have generally found greater support among men (Givens,
2004; see Online Appendix Figures CD5 and CD6).

32.

See Online Appendix Figures CF7 (before controls) and CF8 (after controls) for
the sectoral cleavage and Figures CF9 (before controls) and CF10 (after
controls) for support for left-wing parties among homeowners.


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© The Author(s) 2021. Published by Oxford University Press on behalf of
President and Fellows of Harvard College.
This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (https://creativecommons.org/licenses/by/4.0/),
which permits unrestricted reuse, distribution, and reproduction in any medium,
provided the original work is properly cited.




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