IDEAS home Printed from https://ideas.repec.org/p/gov/wpregi/2002.html
   My bibliography  Save this paper

How inequality shapes political participation: The role of spatial patterns of political competition

Author

Listed:
  • Francesc Amat
  • Pablo Beramendi
  • Miriam Hortas-Rico
  • Vicente Rios

Abstract

This study investigates how economic inequality shapes political participation and to what extent this relationship is moderated by political competition. In the case of Spain, the link between income inequality and turnout is negative, as expected, but rather weak, suggesting that local turnout rates do not depend exclusively on income inequality levels. We develop a theoretical model linking inequality, political competition and turnout. To test the validity of the theoretical model we derive a novel data set of inequality metrics for a sample of municipalities over the four local elections that took place between 2003 and 2015 and specify a spatial dynamic panel data model that allows us to account for serial dependence, unobserved spatial heterogeneity and spatial dependence. Our paper reveals two Spains: one in which high inequality and high levels of political competition yield relatively lower turnout rates, and one in which high levels of inequality and low levels of political competition yield relatively higher turnout rates. In addition, our _ndings suggest that this last result might be driven by a higher budgetary use of policies targeted to low income voters.

Suggested Citation

  • Francesc Amat & Pablo Beramendi & Miriam Hortas-Rico & Vicente Rios, 2020. "How inequality shapes political participation: The role of spatial patterns of political competition," Working Papers. Collection B: Regional and sectoral economics 2002, Universidade de Vigo, GEN - Governance and Economics research Network.
  • Handle: RePEc:gov:wpregi:2002
    as

    Download full text from publisher

    File URL: http://infogen.webs.uvigo.es/WPB/WP2002.pdf
    File Function: First version, 2020
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Humberto Llavador & Robert J. Oxoby, 2005. "Partisan Competition, Growth, and the Franchise," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 1155-1189.
    2. Cho, Wendy K Tam & Rudolph, Thomas J, 2008. "Emanating Political Participation: Untangling the Spatial Structure Behind Participation," British Journal of Political Science, Cambridge University Press, vol. 38(2), pages 273-289, April.
    3. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2012. "Estimation for spatial dynamic panel data with fixed effects: The case of spatial cointegration," Journal of Econometrics, Elsevier, vol. 167(1), pages 16-37.
    4. Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Journal of Economic Literature, American Economic Association, vol. 49(1), pages 3-71, March.
    5. Miriam Hortas-Rico & Jorge Onrubia & Daniele Pacifico, 2014. "Estimating the Personal Income Distribution in Spanish Municipalities Using Tax Micro-Data," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1419, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    6. Masahisa Fujita & Paul Krugman & Anthony J. Venables, 2001. "The Spatial Economy: Cities, Regions, and International Trade," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262561476, April.
    7. Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR & James P. LeSAGE, 2010. "Interpreting Dynamic Space-Time Panel Data Models," LEO Working Papers / DR LEO 800, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    8. David Austen-Smith, 2000. "Redistributing Income under Proportional Representation," Journal of Political Economy, University of Chicago Press, vol. 108(6), pages 1235-1269, December.
    9. Luc Anselin & Julie Le Gallo, 2006. "Interpolation of air quality measures in hedonic house price models : spatial aspects," Post-Print hal-00485017, HAL.
    10. Diego Firmino Costa da Silva & J. Paul Elhorst & Raul da Mota Silveira Neto, 2017. "Urban and rural population growth in a spatial panel of municipalities," Regional Studies, Taylor & Francis Journals, vol. 51(6), pages 894-908, June.
    11. Scott, James C., 1969. "Corruption, Machine Politics, and Political Change," American Political Science Review, Cambridge University Press, vol. 63(4), pages 1142-1158, December.
    12. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    13. Acemoglu,Daron & Robinson,James A., 2009. "Economic Origins of Dictatorship and Democracy," Cambridge Books, Cambridge University Press, number 9780521671422, September.
    14. Peter Lindert, 2004. "Social Spending and Economic Growth," Challenge, Taylor & Francis Journals, vol. 47(4), pages 6-16.
    15. Ansell,Ben W., 2010. "From the Ballot to the Blackboard," Cambridge Books, Cambridge University Press, number 9780521190183, September.
    16. James P. Lesage, 1997. "Bayesian Estimation of Spatial Autoregressive Models," International Regional Science Review, , vol. 20(1-2), pages 113-129, April.
    17. Stigler, George J, 1970. "Director's Law of Public Income Redistribution," Journal of Law and Economics, University of Chicago Press, vol. 13(1), pages 1-10, April.
    18. Lacombe, Donald J. & Coats, R. Morris & Shughart II, William F. & Karahan, Gökhan, 2016. "Corruption and Voter Turnout: A Spatial Econometric Approach," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 46(2), December.
    19. Przeworski,Adam, 2010. "Democracy and the Limits of Self-Government," Cambridge Books, Cambridge University Press, number 9780521140119, September.
    20. Przeworski,Adam, 2010. "Democracy and the Limits of Self-Government," Cambridge Books, Cambridge University Press, number 9780521761031, September.
    21. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    22. Jordan Gans‐Morse & Sebastián Mazzuca & Simeon Nichter, 2014. "Varieties of Clientelism: Machine Politics during Elections," American Journal of Political Science, John Wiley & Sons, vol. 58(2), pages 415-432, April.
    23. Stefano Magrini, 2007. "Analysing Convergence through the Distribution Dynamics Approach: Why and how?," Working Papers 2007_13, Department of Economics, University of Venice "Ca' Foscari".
    24. Lee, Lung-fei & Yu, Jihai, 2010. "A Spatial Dynamic Panel Data Model With Both Time And Individual Fixed Effects," Econometric Theory, Cambridge University Press, vol. 26(2), pages 564-597, April.
    25. Beramendi,Pablo, 2012. "The Political Geography of Inequality," Cambridge Books, Cambridge University Press, number 9781107008137, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daron Acemoglu & Suresh Naidu & Pascual Restrepo & James A. Robinson, 2013. "Democracy, Redistribution and Inequality," NBER Working Papers 19746, National Bureau of Economic Research, Inc.
    2. Asgharian, Hossein & Hess, Wolfgang & Liu, Lu, 2013. "A spatial analysis of international stock market linkages," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4738-4754.
    3. Bautista, M. A. & González, F. & Martínez, L. R. & Muñoz, P. & Prem, M., 2020. "Chile’s Missing Students: Dictatorship, Higher Education and Social Mobility," Documentos de Trabajo 18163, Universidad del Rosario.
    4. Acemoglu, Daron & Golosov, Mikhail & Tsyvinski, Aleh, 2011. "Power fluctuations and political economy," Journal of Economic Theory, Elsevier, vol. 146(3), pages 1009-1041, May.
    5. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    6. Amat, Francesc & Beramendi, Pablo, 2016. "Economic and Political Inequality: The Role of Political Mobilization," CAGE Online Working Paper Series 277, Competitive Advantage in the Global Economy (CAGE).
    7. Kammas, Pantelis & Sarantides, Vassilis, 2019. "Do dictatorships redistribute more?," Journal of Comparative Economics, Elsevier, vol. 47(1), pages 176-195.
    8. Aidt, Toke S. & Jensen, Peter S., 2014. "Workers of the world, unite! Franchise extensions and the threat of revolution in Europe, 1820–1938," European Economic Review, Elsevier, vol. 72(C), pages 52-75.
    9. Jonathan Chapman, 2020. "Extension of the Franchise and Government Expenditure on Public Goods: Evidence from Nineteenth-Century England," Working Papers 20200045, New York University Abu Dhabi, Department of Social Science, revised Mar 2020.
    10. Anna Gloria Billé & Marco Rogna, 2022. "The effect of weather conditions on fertilizer applications: A spatial dynamic panel data analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 3-36, January.
    11. LeSage, James P. & Chih, Yao-Yu & Vance, Colin, 2019. "Markov Chain Monte Carlo estimation of spatial dynamic panel models for large samples," Computational Statistics & Data Analysis, Elsevier, vol. 138(C), pages 107-125.
    12. Suresh Naidu, 2012. "Suffrage, Schooling, and Sorting in the Post-Bellum U.S. South," NBER Working Papers 18129, National Bureau of Economic Research, Inc.
    13. Ciccarelli, Carlo & Elhorst, J.Paul, 2018. "A dynamic spatial econometric diffusion model with common factors: The rise and spread of cigarette consumption in Italy," Regional Science and Urban Economics, Elsevier, vol. 72(C), pages 131-142.
    14. Zuazu Bermejo, Izaskun, 2018. "Electoral Systems and Income Inequality: A Tale of Political Equality," IKERLANAK 30206, Universidad del País Vasco - Departamento de Fundamentos del Análisis Económico I.
    15. Samuels, David & Vargas, Thomas R., 2023. "Democracy, rural inequality, and education spending," World Development, Elsevier, vol. 162(C).
    16. Herrera Gómez, Marcos, 2017. "Fundamentos de Econometría Espacial Aplicada [Fundamentals of Applied Spatial Econometrics]," MPRA Paper 80871, University Library of Munich, Germany.
    17. J. Paul Elhorst, 2022. "The dynamic general nesting spatial econometric model for spatial panels with common factors: Further raising the bar," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(3), pages 249-267, December.
    18. repec:spo:wpmain:info:hdl:2441/vbu6kd1s68o6r34k5bcm3iopv is not listed on IDEAS
    19. Michael K Miller, 2013. "Electoral authoritarianism and democracy: A formal model of regime transitions," Journal of Theoretical Politics, , vol. 25(2), pages 153-181, April.
    20. Marco Manacorda & Andrea Tesei, 2020. "Liberation Technology: Mobile Phones and Political Mobilization in Africa," Econometrica, Econometric Society, vol. 88(2), pages 533-567, March.
    21. Guido M. Kuersteiner & Ingmar R. Prucha, 2020. "Dynamic Spatial Panel Models: Networks, Common Shocks, and Sequential Exogeneity," Econometrica, Econometric Society, vol. 88(5), pages 2109-2146, September.

    More about this item

    Keywords

    Dynamic Spatial Panels; Turnout; Income Inequality; Spanish Municipalities;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gov:wpregi:2002. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Patricio Sanchez-Fernandez (email available below). General contact details of provider: https://edirc.repec.org/data/geviges.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.