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How Polarized are Citizens? Measuring Ideology from the Ground-Up

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  • Draca, Mirko

    (University of Warwick and Centre for Economic Performance, LSE)

  • Schwarz, Carlo

    (University of Warwick and Centre for Competitive Advantage in the Global Economy (CAGE))

Abstract

Strong evidence has been emerging that major democracies have become more politically polarized, at least according to measures based on the ideological positions of political elites. We ask: have the general public (‘citizens’) followed the same pattern? Our approach is based on unsupervised machine learning models as applied to issueposition survey data. This approach firstly indicates that coherent, latent ideologies are strongly apparent in the data, with a number of major, stable types that we label as: Liberal Centrist, Conservative Centrist, Left Anarchist and Right Anarchist. Using this framework, and a resulting measure of ‘citizen slant’, we are then able to decompose the shift in ideological positions across the population over time. Specifically, we find evidence of a ‘disappearing center’ in a range of countries with citizens shifting away from centrist ideologies into anti-establishment ‘anarchist’ ideologies over time. This trend is especially pronounced for the US.

Suggested Citation

  • Draca, Mirko & Schwarz, Carlo, 2019. "How Polarized are Citizens? Measuring Ideology from the Ground-Up," The Warwick Economics Research Paper Series (TWERPS) 1218, University of Warwick, Department of Economics.
  • Handle: RePEc:wrk:warwec:1218
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    3. Jon H. Fiva & Oda Nedregård & Henning Øien, 2021. "Polarization in Parliamentary Speech," CESifo Working Paper Series 8818, CESifo.
    4. Darya Korlyakova, 2021. "Learning about Ethnic Discrimination from Different Information Sources," CERGE-EI Working Papers wp689, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
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    7. Ashani Amarasinghe & Paul A. Raschky, 2022. "Competing for Attention - The Effect of Talk Radio on Elections and Political Polarization in the US," SoDa Laboratories Working Paper Series 2022-02, Monash University, SoDa Laboratories.
    8. Stefanie Stantcheva, 2021. "Understanding Tax Policy: How do People Reason?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(4), pages 2309-2369.
    9. Elliott Ash & Daniel L. Chen & Sergio Galletta, 2022. "Measuring Judicial Sentiment: Methods and Application to US Circuit Courts," Economica, London School of Economics and Political Science, vol. 89(354), pages 362-376, April.
    10. Rob Bauer & Katrin Gödker & Paul Smeets & Florian Zimmermann, 2024. "Mental Models in Financial Markets: How Do Experts Reason About the Pricing of Climate Change?," CRC TR 224 Discussion Paper Series crctr224_2024_569, University of Bonn and University of Mannheim, Germany.

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    More about this item

    Keywords

    Polarization ; Ideology ; Unsupervised Learning;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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