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Advances in the Spatial Theory of Voting

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  • Enelow,James M.
  • Hinich,Melvin J. Preface by-Name:Arrow,Kenneth

Abstract

This volume brings together eight original essays selected to provide an overview of the developments in the spatial theory of voting. The spatial theory of self-interest and explores the consequences of this assumption for elite behaviour and for the choices voters make in representative and direct democracies. The book summarizes work in eight major areas: elections with possible entry by new candidates who have policy preferences, experimental testing of spatial models of committees and elections, elections with imperfect information about voting intentions, voting on alternatives that are linked to future decisions, elections with candidates who have policy preferences, experimental testing of spatial manoeuvres designed to alter voting outcomes, elections with experimental testing of spatial models of committees and elections, elections with imperfect information about voting intentions, voting on alternatives that are linked to future decisions, elections with more than two candidates under different election rules, and bureaucratic efforts to manipulate referendum voting. Recognized scholars in these areas summarize the major results of their own and others' work, providing self-contained discussions that will apprise readers of important recent advances.

Suggested Citation

  • Enelow,James M. & Hinich,Melvin J. Preface by-Name:Arrow,Kenneth (ed.), 1990. "Advances in the Spatial Theory of Voting," Cambridge Books, Cambridge University Press, number 9780521352840, January.
    • Handle: RePEc:cup:cbooks:9780521352840
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    Cited by:

    1. Ignacio Ortuno‐Ortín & Christian Schultz, 2005. "Public Funding of Political Parties," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 7(5), pages 781-791, December.
    2. Christian Schultz, 2007. "Strategic Campaigns and Redistributive Politics," Economic Journal, Royal Economic Society, vol. 117(522), pages 936-963, July.

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