IDEAS home Printed from https://ideas.repec.org/a/ris/apltrx/0124.html

A Spatial Voting Model of Russia

Author

Listed:
  • Alexei Zakharov

Abstract

n this work factor analysis is used to obtain a two-dimensional map of ideological preferences of the Russian elec-torate. It is shown that Moscow is the most polarized region with respect to ideological preferences. A spatial model of voting, based on the assumption that the voter’s utility depends on the distance between his and the party's ideological posi-tions and valence, is estimated. It is proved that ideological preferences significantly affect the voter's choice. We demonstrate the communist bias in rural regions can be entirely explained in terms of measured ideological preferences.

Suggested Citation

  • Alexei Zakharov, 2008. "A Spatial Voting Model of Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 10(2), pages 75-90.
  • Handle: RePEc:ris:apltrx:0124
    as

    Download full text from publisher

    File URL: http://pe.cemi.rssi.ru/pe_2008_2_75-90.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zakharov Alexei, 2005. "Candidate location and endogenous valence," EERC Working Paper Series 05-17e, EERC Research Network, Russia and CIS.
    2. Norman Schofield, 2007. "The Mean Voter Theorem: Necessary and Sufficient Conditions for Convergent Equilibrium," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 965-980.
    3. repec:cup:apsrev:v:57:y:1963:i:02:p:368-377_24 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexei Zakharov & Dean Fantazzini, 2009. "Economic Factors in a Model of Voting: The Case of The Netherlands, Great Britain, and Israel," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 57-73.

    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. Alexei Zakharov & Dean Fantazzini, 2009. "Economic Factors in a Model of Voting: The Case of The Netherlands, Great Britain, and Israel," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 57-73.
    2. Ashworth, Scott & Bueno de Mesquita, Ethan, 2009. "Elections with platform and valence competition," Games and Economic Behavior, Elsevier, vol. 67(1), pages 191-216, September.
    3. Guillaume Hollard & Stéphane Rossignol, 2008. "An Alternative Approach to Valence Advantage in Spatial Competition," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 10(3), pages 441-454, June.
    4. Xefteris, Dimitrios, 2017. "Multidimensional electoral competition between differentiated candidates," Games and Economic Behavior, Elsevier, vol. 105(C), pages 112-121.
    5. Orestis Troumpounis & Dimitrios Xefteris & Bernard Grofman, 2016. "Electoral competition with primaries and quality asymmetries," Working Papers 135286117, Lancaster University Management School, Economics Department.
    6. Dodlova, Marina & Zudenkova, Galina, 2021. "Incumbents’ performance and political extremism," Journal of Public Economics, Elsevier, vol. 201(C).
    7. Karakas, Leyla D. & Mitra, Devashish, 2020. "Inequality, redistribution and the rise of outsider candidates," Games and Economic Behavior, Elsevier, vol. 124(C), pages 1-16.
    8. Maria Gallego & Norman Schofield & Kevin McAlister & Jee Jeon, 2014. "The variable choice set logit model applied to the 2004 Canadian election," Public Choice, Springer, vol. 158(3), pages 427-463, March.
    9. Jason Y Wu, 2019. "A spatial valence model of political participation in China," Journal of Theoretical Politics, , vol. 31(2), pages 244-259, April.
    10. Dimitrios Xefteris, 2014. "Mixed equilibriums in a three-candidate spatial model with candidate valence," Public Choice, Springer, vol. 158(1), pages 101-120, January.
    11. Jon Eguia, 2013. "On the spatial representation of preference profiles," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 52(1), pages 103-128, January.
    12. Eguia, Jon X., 2011. "Foundations of spatial preferences," Journal of Mathematical Economics, Elsevier, vol. 47(2), pages 200-205, March.
    13. Xefteris, Dimitrios, 2013. "Equilibrium in a discrete Downsian model given a non-minimal valence advantage and linear loss functions," Mathematical Social Sciences, Elsevier, vol. 65(2), pages 150-153.
    14. Köppl-Turyna, Monika, 2014. "Campaign finance regulations and policy convergence: The role of interest groups and valence," European Journal of Political Economy, Elsevier, vol. 33(C), pages 1-19.
    15. Azrieli, Yaron, 2009. "Characterization of multidimensional spatial models of elections with a valence dimension," MPRA Paper 14513, University Library of Munich, Germany.
    16. Haldun Evrenk, 2009. "Three-candidate competition when candidates have valence: the base case," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 32(1), pages 169-169, January.
    17. R. Emre Aytimur & Aris Boukouras & Richard M. H. Suen, 2025. "How does political uncertainty affect the optimal degree of policy divergence?," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 65(4), pages 959-982, December.
    18. Guido Cataife & Norman Schofield, 2007. "Electoral Oscillations in Argentina.," ICER Working Papers 34-2007, ICER - International Centre for Economic Research.
    19. Norman Schofield & Ugur Ozdemir, 2009. "Formal Models of Elections and Political Bargaining," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 3(3), pages 207-242, October.
    20. Henning, Christian H. C. A., 2015. "Modeling and evaluation of political processes: A new quantitative approach," Working Papers of Agricultural Policy WP2015-01, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.

    More about this item

    Keywords

    ;
    ;

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior

    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:ris:apltrx:0124. 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: Anatoly Peresetsky (email available below). General contact details of provider: http://appliedeconometrics.cemi.rssi.ru/ .

    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.