Kosuke Imai is Assistant Professor, Department of Politics, Princeton University, Corwin Hall 036, Princeton, NJ 08544 (email@example.com, http://imai.princeton.edu). Dustin Tingley is Assistant Professor, Department of Government, Harvard University, 1737 Cambridge St., Cambridge, MA 02138 (firstname.lastname@example.org, http://scholar.harvard.edu/dtingley).
A Statistical Method for Empirical Testing of Competing Theories
Article first published online: 21 DEC 2011
© 2011, Midwest Political Science Association
American Journal of Political Science
Volume 56, Issue 1, pages 218–236, January 2012
How to Cite
Imai, K. and Tingley, D. (2012), A Statistical Method for Empirical Testing of Competing Theories. American Journal of Political Science, 56: 218–236. doi: 10.1111/j.1540-5907.2011.00555.x
The replication code and data archive for this article are available at http://hdl.handle.net/1902.1/16378. We thank Mike Hiscox and Todd Allee for kindly sharing their data. Thanks to Will Bullock, Christina Davis, Marty Gilens, Michael Hiscox, Simon Jackman, Evan Lieberman, Helen Milner, Grigo Pop-Eleches, Brandon Stewart, Teppei Yamamoto, Carlos Velasco Rivera, Jaquilyn Waddell Boie, Robert Walker, and seminar participants at Harvard University, Princeton University, the University of California, Berkeley, and the University of Chicago, Harris School for helpful suggestions. We also thank the editor and the four anonymous reviewers for extensive comments that have significantly improved this article. Imai acknowledges the financial support from the National Science Foundation (SES–0918968).
- Issue published online: 17 JAN 2012
- Article first published online: 21 DEC 2011
Additional Supporting Information may be found in the online version of this article:
S1: Comparison with Standard Approaches
S2: Semi-parametric mixture modeling without clustering
S3: Classified trade bills
S4: Illustration of pitfalls of mixture modeling via simulation
|AJPS_555_sm_supmat.zip||701K||Supporting info item|
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