Small chamber ideal point estimation

Political Analysis

Volumn 17, Issue 3, 2009, Pages 276-290

  Peress, Michael ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67651091984     PISSN: 10471987     EISSN: 14764989     Source Type: Journal    
DOI: 10.1093/pan/mpp010     Document Type: Article

References (30)

1. Andersen, Erling Bernhard. 1970. Asymptotic properties of conditional maximum-likelihood estimators. Journal of the Royal Statistical Society 32:283-301.
2. Andersen, Erling Bernhard. 1973. Conditional inference and models for measuring. Copenhagen, Denmark: Mentalhygiejnisk Forsknings Institut.
3. Bafumi, James, Andrew Gelman, David K. Park, and Noah Kaplan. 2005. Practical issues in implementing and understanding Bayesian ideal point estimation. Political Analysis 13:171-87.
4. Bailey, Michael A. 2001. Ideal point estimation with a small number of votes: A random effects approach. Political Analysis 9:192-210.
5. Bock, R. Darell, and Murray Aitken. 1981. Marginal maximum likelihood estimation of item parameters: Application of the EM algorithm. Psychometrika 46:443-59.
6. Carroll, Royce, Jeffrey B. Lewis, James Lo, Keith T. Poole, and Howard Rosenthal. Forthcoming. Comparing NOMINATE and IDEAL: Points of difference and Monte Carlo tests. Legislative Studies Quarterly.
7. Clinton, Joshua, Simon Jackman, and Douglas Rivers. 2003. The statistical analysis of roll call data. Working Paper.
8. Clinton, Joshua, Simon Jackman, and Douglas Rivers. 2004. The statistical analysis of roll call data. American Political Science Review 98:355-70.
9. Desposato, Scott. 2004. The impact of party-switching on legislative behavior in Brazil. Working Paper.
10. Firth, David. 1993. Bias reduction of maximum likelihood estimates. Biometrika 80:27-38.
11. Geweke, John, Michael Keane, and David Runkle. 1994. Alternative computational approaches to inference in the multinomial probit model. Review of Economics and Statistics 76:609-32.
12. Geweke, John, Michael Keane, and David Runkle. 1997. Statistical inference in the multiperiod multinomial probit model. Journal of Econometrics 81:125-66.
13. Hall, Peter. 1997. The bootstrap and the Edgeworth expansion. New York: Springer.
14. Heckman, James J., and James M. Snyder. 1997. Linear probability models of the demand for attributes with an empirical application to estimating the preferences of legislators. RAND Journal of Economics 28:S142-89.
15. Hsiao, Cheng. 1986. Analysis of panel sata. Cambridge: Cambridge University Press.
16. Kiefer, J., and J. Wolfowitz. 1956. Consistency of the maximum likelihood estimator in the presence of infinitely many incidental parameters. Annals of Mathematical Statistics 27:887-906.
17. Lancaster, Tony. 2000. The incidental parameter problem since 1948. Journal of Econometrics 95:391-413.
18. Lewis, Jeffrey B. 2001. Estimating voter preference distributions from individual level voting data. Political Analysis 9:275-97.
19. Liittschwager, J. M., and C.Wang. 1978. Integer programming solution of a classification problem. Management Science 24:1515-25.
20. Londregan, John. 2000a. Estimating legislator's preferred points. Political Analysis 8:35-56.
21. Londregan, John. 2000b. Legislative institutions and ideology in Chile's democratic transition. Cambridge: Cambridge University Press.
22. Martin, Andrew D., and Kevin M. Quinn. 2002. Dynamic ideal point estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999. Political Analysis 10:134-53.
23. Neyman, J., and Elizabeth L. Scott. 1948. Consistent Estimates Based on Partially Consistent Observations. Econometrica 16:1-32.
24. Peress, Michael. 2007. Securing the base: Electoral competition under variable turnout. Working Paper.
25. Poole, Keith T. 2005. Spatial models of parliamentary voting. New York: Cambridge University Press.
26. Poole, Keith T., and Howard Rosenthal. 1997. Congress: A political economic history of roll call voting. New York: Oxford University Press.
27. Quinn, Kevin M., Jong Hee Park, and Andrew D. Martin. 2007. Improving judicial ideal point estimates with a more realistic model of opinion content. Working Paper.
28. Spaeth, Harold J. 1999. United State Supreme Court judicial database, 1953-1998 terms [Computer File]. 15th ed. Ann Arbor, MI: Inter University Consortium of Political and Social Research.
29. Wright, Gerald C., and Tracy Osborne. 2002. Party and roll call voting in the American legislature. Working Paper.
30. Zorn, Christopher. 2005. A solution to separation in binary response models. Political Analysis 13:157-70.