Roll Call Data and Ideal Points
We show that, in the absence of symmetry or other parametric restrictions on legislators’ utility functions, roll call voting records cannot be used to estimate legislators’ ideal points unless we complement these data with information on the location of the alternatives being voted upon by the legislature. Without such additional information, the roll-call data cannot differentiate between distinct, arbitrary, sets of ideal points for the legislators no matter how large the roll call record or how low the number of policy dimensions. On the other hand, when the location of voting alternatives is known, we derive simple testable restrictions on the location of legislators’ ideal points from the roll call data.
|Date of creation:||Aug 2006|
|Contact details of provider:|| Postal: University of Rochester, Wallis Institute, Harkness 109B Rochester, New York 14627 U.S.A.|
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Varian, Hal R, 1982. "The Nonparametric Approach to Demand Analysis," Econometrica, Econometric Society, vol. 50(4), pages 945-973, July.
- de Leeuw, Jan, 2006. "Principal component analysis of binary data by iterated singular value decomposition," Computational Statistics & Data Analysis, Elsevier, vol. 50(1), pages 21-39, January.
- Clinton, Joshua D. & Meirowitz, Adam, 2001. "Agenda Constrained Legislator Ideal Points and the Spatial Voting Model," Political Analysis, Cambridge University Press, vol. 9(03), pages 242-259, January.
- Bafumi, Joseph & Gelman, Andrew & Park, David K. & Kaplan, Noah, 2005. "Practical Issues in Implementing and Understanding Bayesian Ideal Point Estimation," Political Analysis, Cambridge University Press, vol. 13(02), pages 171-187, March.
- Richter, Marcel K. & Wong, K.-C.Kam-Chau, 2004. "Concave utility on finite sets," Journal of Economic Theory, Elsevier, vol. 115(2), pages 341-357, April.
- Martin, Andrew D. & Quinn, Kevin M., 2002. "Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999," Political Analysis, Cambridge University Press, vol. 10(02), pages 134-153, March.
- Henry Brady, 1989. "Factor and ideal point analysis for interpersonally incomparable data," Psychometrika, Springer;The Psychometric Society, vol. 54(2), pages 181-202, June.
- repec:cup:apsrev:v:98:y:2004:i:02:p:355-370_00 is not listed on IDEAS