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Dimensions in Congressional Voting

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  • Koford, Kenneth

Abstract

While dimensional studies of congressional voting find a single, ideological dimension, regression estimates find several constituency and party dimensions in addition to ideology. I rescale several unidimensional studies to show their increased classification success over the null hypothesis that votes are not unidimensional. Several null hypotheses are explored. With these null hypotheses, 66%–75% of nonunidimensional roll call votes are nevertheless correctly classified by one dimension. After the rescaling, one dimension succeeds in correctly classifying 25%–50% of the votes, and second and third dimensions are important.

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  • Koford, Kenneth, 1989. "Dimensions in Congressional Voting," American Political Science Review, Cambridge University Press, vol. 83(3), pages 949-962, September.
    • Handle: RePEc:cup:apsrev:v:83:y:1989:i:03:p:949-962_08
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    Cited by:

    1. Keith T. Poole & Howard Rosenthal, 1994. "Dimensional Simplification And Economic Theories Of Legislative Behavior," Economics and Politics, Wiley Blackwell, vol. 6(2), pages 163-172, July.
    2. Thomas Schwartz, 2011. "One-dimensionality and stability in legislative voting," Public Choice, Springer, vol. 148(1), pages 197-214, July.
    3. James J. Heckman & James M. Snyder, Jr., 1996. "Linear Probability Models of the Demand for Attributes with an Empirical Application to Estimating the Preferences of Legislators," NBER Working Papers 5785, National Bureau of Economic Research, Inc.
    4. Simon Hix & Abdul Noury & Gerard Roland, 2018. "Is there a selection bias in roll call votes? Evidence from the European Parliament," Public Choice, Springer, vol. 176(1), pages 211-228, July.
    5. Kenneth Koford, 1994. "What Can We Learn About Congressional Politics From Dimensional Studies Of Roll‐Call Voting?," Economics and Politics, Wiley Blackwell, vol. 6(2), pages 173-186, July.
    6. Milyo, Jeffrey, 2000. "A problem with Euclidean preferences in spatial models of politics," Economics Letters, Elsevier, vol. 66(2), pages 179-182, February.

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