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A Spatial Voting Model of Russia

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  • Zakharov, Alexei

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

  • Zakharov, Alexei, 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
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    References listed on IDEAS

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    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. Stokes, Donald E., 1963. "Spatial Models of Party Competition," American Political Science Review, Cambridge University Press, vol. 57(2), pages 368-377, June.
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    Cited by:

    1. Zakharov, Alexei & Fantazzini, Dean, 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.

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    More about this item

    Keywords

    spatial voting model; Russian electorate;

    JEL classification:

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

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