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Convergence and divergence in dynamic voting with inequality

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  • Guilmi, Corrado Di

    (Economics Discipline Group, University of Technology Sydney, Australia, and Centre for Applied Macroeconomic Analysis, Australian National University, Canberra, Australia.)

  • Galanis, Giorgos

    (Goldsmiths, University of London, UK, and Centre for Applied Macroeconomic Analysis, Australian National University.)

Abstract

The original formulation of the median voter theorem predicts parties’ political convergence in a static setup, under two key assumptions : voters preferences being fixed and parties being opportunistic (purely office-motivated). Drawing on recent empirical findings about the evolution of voters’ political preferences, this paper verifies whether the median voter theorem’s results hold when (i) the control variables that influence voters’ preferences endogenously evolve over time, and (ii) parties are not opportunistic. We present a dynamic two-party voting model in which voters’ preferences evolve over time depending on observable common factors and unobservable idiosyncratic characteristics. In such a setting, the convergence of parties’ platforms to the centre is a special case within a range of results that include instability and equilibria at one of the extremes. Moreover, convergence of parties’ platforms is achieved not as the result of electoral strategies, but when neither party has enough support to pursue its agenda.

Suggested Citation

  • Guilmi, Corrado Di & Galanis, Giorgos, 2020. "Convergence and divergence in dynamic voting with inequality," CRETA Online Discussion Paper Series 61, Centre for Research in Economic Theory and its Applications CRETA.
  • Handle: RePEc:wrk:wcreta:61
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    as
    1. Thomas Piketty, 2018. "Brahmin Left vs Merchant Right: Rising Inequality & the Changing Structure of Political Conflict," Working Papers hal-02878211, HAL.
    2. Dieci, Roberto & Westerhoff, Frank, 2016. "Heterogeneous expectations, boom-bust housing cycles, and supply conditions: A nonlinear economic dynamics approach," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 21-44.
    3. John V. Duca & Jason L. Saving, 2016. "Income Inequality and Political Polarization: Time Series Evidence Over Nine Decades," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 62(3), pages 445-466, September.
    4. Marco Battaglini & Stephen Coate, 2007. "Inefficiency in Legislative Policymaking: A Dynamic Analysis," American Economic Review, American Economic Association, vol. 97(1), pages 118-149, March.
    5. Shayo, Moses & Harel, Alon, 2012. "Non-consequentialist voting," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 299-313.
    6. Marco Battaglini & Stephen Coate, 2008. "A Dynamic Theory of Public Spending, Taxation, and Debt," American Economic Review, American Economic Association, vol. 98(1), pages 201-236, March.
    7. C. Chiarella & X-Z. He, 2001. "Asset price and wealth dynamics under heterogeneous expectations," Quantitative Finance, Taylor & Francis Journals, vol. 1(5), pages 509-526.
    8. Frankel, Jeffrey A & Froot, Kenneth A, 1987. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations," American Economic Review, American Economic Association, vol. 77(1), pages 133-153, March.
    9. Alberto Alesina & George-Marios Angeletos, 2005. "Fairness and Redistribution," American Economic Review, American Economic Association, vol. 95(4), pages 960-980, September.
    10. Marina Azzimonti, 2011. "Barriers to Investment in Polarized Societies," American Economic Review, American Economic Association, vol. 101(5), pages 2182-2204, August.
    11. Thomas Cusack & Torben Iversen & Philipp Rehm, 2006. "Risks at Work: The Demand and Supply Sides of Government Redistribution," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 22(3), pages 365-389, Autumn.
    12. Alberto Alesina & Dani Rodrik, 1994. "Distributive Politics and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(2), pages 465-490.
    13. Kramer, Gerald H., 1971. "Short-Term Fluctuations in U.S. Voting Behavior, 1896–1964," American Political Science Review, Cambridge University Press, vol. 65(1), pages 131-143, March.
    14. Morton, Rebecca B. & Muller, Daniel & Page, Lionel & Torgler, Benno, 2015. "Exit polls, turnout, and bandwagon voting: Evidence from a natural experiment," European Economic Review, Elsevier, vol. 77(C), pages 65-81.
    15. Westerhoff, Frank H. & Dieci, Roberto, 2006. "The effectiveness of Keynes-Tobin transaction taxes when heterogeneous agents can trade in different markets: A behavioral finance approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(2), pages 293-322, February.
    16. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    17. Daniel McFadden, 2001. "Economic Choices," American Economic Review, American Economic Association, vol. 91(3), pages 351-378, June.
    18. Robert Andersen & Yaish, M. (Meir), 2012. "GINI DP 48: Public Opinion on Income Inequality in 20 Democracies: The Enduring Impact of Social Class and Economic Inequality," GINI Discussion Papers 48, AIAS, Amsterdam Institute for Advanced Labour Studies.
    19. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    20. Bernhardt, Dan & Duggan, John & Squintani, Francesco, 2009. "The Case for Responsible Parties," American Political Science Review, Cambridge University Press, vol. 103(4), pages 570-587, November.
    21. Frankel, Jeffrey A & Froot, Kenneth A, 1990. "Chartists, Fundamentalists, and Trading in the Foreign Exchange Market," American Economic Review, American Economic Association, vol. 80(2), pages 181-185, May.
    22. Funke, Manuel & Schularick, Moritz & Trebesch, Christoph, 2016. "Going to extremes: Politics after financial crises, 1870–2014," European Economic Review, Elsevier, vol. 88(C), pages 227-260.
    23. Flaschel, Peter & Charpe, Matthieu & Galanis, Giorgos & Proaño, Christian R. & Veneziani, Roberto, 2018. "Macroeconomic and stock market interactions with endogenous aggregate sentiment dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 237-256.
    24. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    25. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    26. Robbett, Andrea & Matthews, Peter Hans, 2018. "Partisan bias and expressive voting," Journal of Public Economics, Elsevier, vol. 157(C), pages 107-120.
    27. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    28. Levi Boxell & Matthew Gentzkow & Jesse M. Shapiro, 2024. "Cross-Country Trends in Affective Polarization," The Review of Economics and Statistics, MIT Press, vol. 106(2), pages 557-565, March.
    29. H. Leibenstein, 1950. "Bandwagon, Snob, and Veblen Effects in the Theory of Consumers' Demand," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 64(2), pages 183-207.
    30. Meltzer, Allan H & Richard, Scott F, 1981. "A Rational Theory of the Size of Government," Journal of Political Economy, University of Chicago Press, vol. 89(5), pages 914-927, October.
    31. Ignacio Esponda & Demian Pouzo, 2019. "Retrospective Voting And Party Polarization," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(1), pages 157-186, February.
    32. John Duggan & César Martinelli, 2017. "The Political Economy of Dynamic Elections: Accountability, Commitment, and Responsiveness," Journal of Economic Literature, American Economic Association, vol. 55(3), pages 916-984, September.
    33. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
    34. Kramer, Gerald H., 1971. "Short-Term Fluctuations in U.S. Voting Behavior, 1896–1964," American Political Science Review, Cambridge University Press, vol. 65(1), pages 131-143, March.
    35. ,, 2014. "A dynamic theory of electoral competition," Theoretical Economics, Econometric Society, vol. 9(2), May.
    36. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    37. Wittman, Donald, 1983. "Candidate Motivation: A Synthesis of Alternative Theories," American Political Science Review, Cambridge University Press, vol. 77(1), pages 142-157, March.
    38. Giorgos Baskozos & Giorgos Galanis & Corrado Di Guilmi, 2020. "Social distancing and contagion in a discrete choice model of COVID-19," CAMA Working Papers 2020-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    39. Paul De Grauwe, 2014. "Booms and Busts in Economic Activity: A Behavioral Explanation," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 19, pages 521-556, World Scientific Publishing Co. Pte. Ltd..
    40. Chiarella, Carl & Dieci, Roberto & Gardini, Laura, 2006. "Asset price and wealth dynamics in a financial market with heterogeneous agents," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1755-1786.
    41. Jean Guillaume Forand & John Duggan, 2013. "Markovian Elections," Working Papers 1305, University of Waterloo, Department of Economics, revised Oct 2013.
    42. Andrew Berg & Jonathan D. Ostry & Charalambos G. Tsangarides & Yorbol Yakhshilikov, 2018. "Redistribution, inequality, and growth: new evidence," Journal of Economic Growth, Springer, vol. 23(3), pages 259-305, September.
    43. Anthony Downs, 1957. "An Economic Theory of Political Action in a Democracy," Journal of Political Economy, University of Chicago Press, vol. 65, pages 135-135.
    44. Mr. Francesco Grigoli & Adrian Robles, 2017. "Inequality Overhang," IMF Working Papers 2017/076, International Monetary Fund.
    45. Nathan J. Kelly & Peter K. Enns, 2010. "Inequality and the Dynamics of Public Opinion: The Self‐Reinforcing Link Between Economic Inequality and Mass Preferences," American Journal of Political Science, John Wiley & Sons, vol. 54(4), pages 855-870, October.
    46. repec:aia:ginidp:dp48 is not listed on IDEAS
    47. Hernan Winkler, 2019. "The effect of income inequality on political polarization: Evidence from European regions, 2002–2014," Economics and Politics, Wiley Blackwell, vol. 31(2), pages 137-162, July.
    48. Lux, Thomas, 1995. "Herd Behaviour, Bubbles and Crashes," Economic Journal, Royal Economic Society, vol. 105(431), pages 881-896, July.
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    2. Giorgos Galanis & Giorgio Ricchiuti & Ben Tippet, 2022. "The Global Political Economy of a Green Transition," Working Papers - Economics wp2022_22.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    3. Di Guilmi, Corrado & Galanis, Giorgos & Proaño, Christian R., 2023. "A Baseline Model of Behavioral Political Cycles and Macroeconomic Fluctuations," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 50-67.
    4. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heterogeneous Dynamic Heuristic Selection," CRETA Online Discussion Paper Series 73, Centre for Research in Economic Theory and its Applications CRETA.
    5. Mayerhoffer, Daniel & Schulz-Gebhard, Jan, 2023. "Social segregation, misperceptions, and emergent cyclical choice patterns," BERG Working Paper Series 186, Bamberg University, Bamberg Economic Research Group.
    6. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heuristic Switching Models," Working Papers 0715, University of Heidelberg, Department of Economics.

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    More about this item

    Keywords

    median voter ; dynamic voting ; political preferences JEL codes: C62 ; D72 ; E71;
    All these keywords.

    JEL classification:

    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • E71 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy

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