IDEAS home Printed from https://ideas.repec.org/p/roc/wallis/wp42.html
   My bibliography  Save this paper

Roll Call Data and Ideal Points

Author

Abstract

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.

Suggested Citation

  • Tasos Kalandrakis, 2006. "Roll Call Data and Ideal Points," Wallis Working Papers WP42, University of Rochester - Wallis Institute of Political Economy.
  • Handle: RePEc:roc:wallis:wp42
    as

    Download full text from publisher

    File URL: http://www.wallis.rochester.edu/WallisPapers/wallis_42.pdf
    File Function: full text
    Download Restriction: None

    References listed on IDEAS

    as
    1. Varian, Hal R, 1982. "The Nonparametric Approach to Demand Analysis," Econometrica, Econometric Society, vol. 50(4), pages 945-973, July.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Henry Brady, 1989. "Factor and ideal point analysis for interpersonally incomparable data," Psychometrika, Springer;The Psychometric Society, vol. 54(2), pages 181-202, June.
    8. repec:cup:apsrev:v:98:y:2004:i:02:p:355-370_00 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kalandrakis, Tasos, 2010. "Rationalizable voting," Theoretical Economics, Econometric Society, vol. 5(1), January.

    More about this item

    Keywords

    Ideal Point Estimation; Rationalizable Choice; Roll Call Voting Record.;

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:roc:wallis:wp42. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Richard DiSalvo). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.