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The Class Ceiling in Politics

Published online by Cambridge University Press:  11 November 2024

OLLE FOLKE*
Affiliation:
Uppsala University, Sweden
JOHANNA RICKNE*
Affiliation:
Stockholm University, Sweden
*
Olle Folke, Professor, Department of Government, Uppsala University, Sweden, olle.folke@statsvet.uu.se
Corresponding author: Johanna Rickne, Professor, Swedish Institute for Social Research, Stockholm University, Sweden; Professor, Department of Economics, Stockholm School of Economics, Sweden; Professor, School of Economics, University of Nottingham, United Kingdom, Johanna.rickne@sofi.su.se
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Abstract

Prior studies have documented that working-class individuals rarely become parliamentarians. We know less about when in the career pipeline to parliament workers disappear, and why. We study these questions using detailed data on the universe of Swedish politicians’ careers over a 50-year period. We find roughly equal-sized declines in the proportion of workers on various rungs of the political career ladder ranging from local to national office. We reject the potential explanations that workers lack political ambition, public service motivation, honesty, or voter support. And while workers’ average high school grades and cognitive test scores are lower, this cannot explain their large promotion disadvantage, a situation that we label a class ceiling. Organizational ties to blue-collar unions help workers advance, but only to lower-level positions in left-leaning parties. We conclude that efforts to improve workers’ numerical representation should apply throughout the career ladder and focus on intra-party processes.

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Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association
Figure 0

Figure 1. Stylized Career Ladder from Municipal to National Political Office

Figure 1

Figure 2. Workers’ Numerical Representation across the Career LadderNote: A working-class person is defined based on their primary occupation in a working-class job according to the EGP class scheme. The population includes all permanent residents over 18 years. A local leader is the top-ranked politician on a municipal electoral ballot. The data on municipal politicians are restricted to parties represented in parliament. In the right-hand side graph, the share of workers in the population is measured at the municipal level for municipal positions and at the national level for parliament. N (population) = 59,760,437; N(nomiAnated) = 397,511; N(municipal councilors) = 159,743; N(local party leader) = 7,125; N(parliamentarian) = 4,068.

Figure 2

Figure 3. Workers’ Numerical Representation by Sex at BirthNote: The figure reproduces the left-hand side of Figure 2 according to sex at birth.

Figure 3

Figure 4. Political Minorities’ Numerical Political Representation in ParliamentNote: See the note of Figure 2.

Figure 4

Figure 5. Numerical Representation by Party and Career StepNote: Pooled cross-sectional data for elections from 1973 to 2018. Data voter composition over time is data from Swedish National Election Survey reported in Hedberg (2020). We use these together with administrative data to impute the expected share of the party’s voters who are workers. The share of workers among the voters of party p in election t and municipality m is given by $ {W}_{pt m}=\left({Vs}_{pt}^W\ast Po{p}_{mt}^W\right)/\left({Vs}_{pt}^W\ast Po{p}_{mt}^w+{Vs}_{pt}^{NW}\ast Po{p}_{mt}^{NW}\right) $, where $ {Vs}_{pt}^W $ and $ {Vs}_{pt}^{NW} $ are national-level vote shares among workers and non-workers, and $ Po{p}_{mt}^W $ and $ Po{p}_{mt}^{NW} $ are population shares. We divide the share of workers at each career level and in each party by these numbers for each municipality and election and report averages of these fractions in the figure. The calculation for MPs follows the same method at the national level.

Figure 5

Figure 6. Party Composition of Existing and “Missing” Working-Class ParliamentariansNote: Shares of missing workers are calculated relative to a situation where each party’s share of working-class parliamentarians equates its share of working-class voters. See the note of Figure 5 for a description of how the share among voters is calculated.

Figure 6

Figure 7. Gaps in Political Ambition between Workers and NonworkersNote: The figure shows estimated coefficients from a regression of self-rated political ambition on a binary indicator for having a working-class occupation. Black and gray markers show estimates from two regression specifications (see legend) and vertical lines denote 95% confidence intervals. Full regression results are available in dataverse log-files (Folke and Rickne 2024). Demographic controls include a dummy variable for female sex at birth, dummies for five age categories, two dummies for being born in Europe (excluding Sweden) and outside of Europe, and a dummy for being a full-time student. Pooled annual survey cross-sections come from the Regional SOM survey in Western Sweden in 1995–2003. Data on politicians’ ambition levels come from the 2012 KOLFU survey (Karlsson and Gilljam 2014). Working class is self-reported on a list of class categories (details in Section W3 of the Supplementary Material). N(population) = 18,325. N(councilors) = 6,268; N(local party leaders) = 976.

Figure 7

Figure 8. Gaps in Political Competence between Workers and Non-WorkersNote: The figure shows estimated coefficients from a regression of competence measurements (listed on the X-axis) on a dummy variable for being a worker. See the note of Figure 7 for the list of demographic controls. Full regression results available in dataverse log-files (Folke and Rickne 2024). Population: municipality-year; nominated and councilors: municipality-year-party; local party leaders in administrative data: municipality, party, and year; local party leaders in survey data: party. High school grades are standardized within-cohort percentiles for graduates in 1973–2018; leadership scores from military draft tests taken by male cohorts in 1953–1979; the Earnings Score is an earnings-based competence measure calculated using data for the entire Swedish workforce. Data on attitudes and personality traits are from the 2017 KOLFU survey (Karlsson 2017) and details on all measurements are presented in Section W3 of the Supplementary Material. N(KOLFU local councilors) = 4,638; N(KOLFU local party leader) = 1,009.

Figure 8

Table 1. Gaps in Promotion Probabilities between Workers and Non-Workers

Figure 9

Table 2. Gaps in Promotion Probabilities by Politicians’ Organizational Ties to Labor Unions

Figure 10

Figure 9. Proportion of Politicians with Organizational Ties to Blue-Collar Labor UnionsNote: An organizational tie is defined as having held a paid position (>10 USD) in a blue-collar union at any time since 1985. Pooled data for elected politicians in 2002–2018. N(local councilors) = 60,217; N(Parliamentarians) = 1,557.

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