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No Evidence on Directional vs. Proximity Voting

Author

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  • Lewis, Jeffrey B.
  • King, Gary

Abstract

The directional and proximity models offer dramatically different theories for how voters make decisions and fundamentally divergent views of the supposed microfoundations on which vast bodies of literature in theoretical rational choice and empirical political behavior have been built. We demonstrate here that the empirical tests in the large and growing body of literature on this subject amount to theoretical debates about which statistical assumption is right. The key statistical assumptions have not been empirically tested and, indeed, turn out to be effectively untestable with existing methods and data. Unfortunately, these assumptions are also crucial since changing them leads to different conclusions about voter decision processes.

Suggested Citation

  • Lewis, Jeffrey B. & King, Gary, 1999. "No Evidence on Directional vs. Proximity Voting," Political Analysis, Cambridge University Press, vol. 8(1), pages 21-33, January.
  • Handle: RePEc:cup:polals:v:8:y:1999:i:01:p:21-33_00
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    Cited by:

    1. Thomas Knight & Fan Li & Lindsey Woodworth, 2017. "It’s My Party and I’ll Vote How I Want to: Experimental Evidence of Directional Voting in Two-Candidate Elections," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 43(4), pages 660-676, September.
    2. Eric Linhart & Susumu Shikano, 2009. "A basic tool set for a generalized directional model," Public Choice, Springer, vol. 140(1), pages 85-104, July.
    3. Mauerer, Ingrid & Pößnecker, Wolfgang & Thurner, Paul W. & Tutz, Gerhard, 2015. "Modeling electoral choices in multiparty systems with high-dimensional data: A regularized selection of parameters using the lasso approach," Journal of choice modelling, Elsevier, vol. 16(C), pages 23-42.
    4. Eiselt, H.A. & Marianov, Vladimir, 2020. "Maximizing political vote in multiple districts," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    5. Kostas Gemenis, 2015. "An iterative expert survey approach for estimating parties’ policy positions," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2291-2306, November.
    6. Bellani, Luna & Scervini, Francesco, 2015. "Heterogeneous preferences and in-kind redistribution: Theory and evidence," European Economic Review, Elsevier, vol. 78(C), pages 196-219.
    7. Marc S. Jacob & Barton E. Lee & Gabriele Gratton, 2023. "From Gridlock to Polarization," Discussion Papers 2023-11, School of Economics, The University of New South Wales.
      • Jacob, Marc S. & Lee, Barton E. & Gratton, Gabriele, 2024. "From gridlock to polarization," Working Papers 341, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    8. Isaac Duerr & Thomas Knight & Lindsey Woodworth, 2019. "Evidence on the Effect of Political Platform Transparency on Partisan Voting," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(3), pages 331-349, June.
    9. Tim R.L. Fry & Sinclair Davidson & Lisa Farrell, 2004. "Lines in the Sand on the Australian Political Beach," Econometric Society 2004 Australasian Meetings 173, Econometric Society.
    10. Zoltán Fazekas & Levente Littvay, 2012. "Choosing sides: The genetics of why we go with the loudest," Journal of Theoretical Politics, , vol. 24(3), pages 389-408, July.

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