Hostname: page-component-76d6cb85b7-mgxrv Total loading time: 0 Render date: 2026-07-21T07:31:57.895Z Has data issue: false hasContentIssue false
  • English
  • Français

Introduction to the Virtual Issue: Recent Advances in Discrete Choice Methods in Political Science

Published online by Cambridge University Press:  04 January 2017

Garrett Glasgow
Garrett Glasgow*
Affiliation:
Department of Political Science, University of California, Santa Barbara, Santa Barbara, CA 93106-9420, email: glasgow@polsci.ucsb.edu
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'

Information

Type
Introduction
Information
Political Analysis , Volume 19 , Virtual Issue V1: Discrete Choice Methods , May 2011 , pp. 1 - 3
Copyright
Copyright © Society for Political Methodology 2011 

References

Beck, Nathaniel L. 2000. Political Methodology: A Welcoming Discipline. Journal of the American Statistical Association 95:651–654.Google Scholar
Beck, Nathaniel. 2010. Time is Not A Theoretical Variable. Political Analysis 18:293–294.Google Scholar
Beck, Nathaniel, Katz, Jonathan N., and Tucker, Richard. 1998. Taking Time Seriously: Time-Series-Cross-Section Analysis with a Binary Dependent Variable. American Journal of Political Science 42:1260–1288.CrossRefGoogle Scholar
Carter, David B., and Signorino, Curtis S. 2010. Back to the Future: Modeling Time Dependence in Binary Data. Political Analysis 18:271–292.CrossRefGoogle Scholar
Gerber, Alan. 1996. African Americans' Congressional Careers and the Democratic House Delegation. The Journal of Politics 58:831–845.CrossRefGoogle Scholar
Herron, Michael C. 1999. Postestimation Uncertainty in Limited Dependent Variable Models. Political Analysis 8:83–98.Google Scholar
King, Gary, Tomz, Michael, and Wittenberg, Jason. 2000. Making the Most of Statistical Analyses: Improving Interpretation and Presentation. American Journal of Political Science 44:347–361.Google Scholar
King, Gary, and Zeng, Langche. 2001. Logistic Regression in Rare Events Data. Political Analysis 9:137–163.CrossRefGoogle Scholar
Martin, Andrew D., and Quinn, Kevin M. 2002. Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999. Political Analysis 10:134–153.CrossRefGoogle Scholar
Sartori, Anne E. 2003. An Estimator for Some Binary-Outcome Selection Models Without Exclusion Restrictions. Political Analysis 11:111–138.Google Scholar
Signorino, Curtis S. 2003. Structure and Uncertainty in Discrete Choice Models. Political Analysis 11:316–344.CrossRefGoogle Scholar
Train, Kenneth E. 2009. Discrete Choice Methods with Simulation (2nd Edition). New York, NY: Cambridge University Press.Google Scholar