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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
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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