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Testing the Predictions of the Multidimensional Spatial Voting Model with Roll Call Data

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  • Jeong, Gyung-Ho

Abstract

This paper develops a procedure for locating proposals and legislators in a multidimensional policy space by applying agenda-constrained ideal point estimation. Placing proposals and legislators on the same scale allows an empirical test of the predictions of the spatial voting model. I illustrate this procedure by testing the predictive power of the uncovered set—a solution concept of the multidimensional spatial voting model—using roll call data from the U.S. Senate. Since empirical tests of the predictive power of the uncovered set have been limited to experimental data, this is the first empirical test of the concept's predictive power using real-world data.

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  • Jeong, Gyung-Ho, 2008. "Testing the Predictions of the Multidimensional Spatial Voting Model with Roll Call Data," Political Analysis, Cambridge University Press, vol. 16(2), pages 179-196, April.
    • Handle: RePEc:cup:polals:v:16:y:2008:i:02:p:179-196_00
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    Cited by:

    1. Marc Henry & Ismael Mourifié, 2013. "Euclidean Revealed Preferences: Testing The Spatial Voting Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 650-666, June.
    2. Tovey, Craig A., 2010. "The instability of instability of centered distributions," Mathematical Social Sciences, Elsevier, vol. 59(1), pages 53-73, January.
    3. Gyung-Ho Jeong, 2017. "The supermajority core of the US Senate and the failure to join the League of Nations," Public Choice, Springer, vol. 173(3), pages 325-343, December.

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