PROJECT INFO.
- KEYWORDS: conjoint analysis, face recognition technology, social desirability bias
- COLLABORATORS: Teppei Yamamoto, etc.
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HIGHLIGHTS:
- "Does Conjoint Analysis Mitigate Social Desirability Bias?" (with Zachary Markovich and Teppei Yamamoto). Political Analysis, forthcoming.
- "Measuring Voters’ Multidimensional Policy Preferences with Conjoint Analysis: Application to Japan’s 2014 Election" (with Daniel Smith and Teppei Yamamoto). Political Analysis, Vol. 26, Issue 2, pp. 190-209, April 2018.
- “Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment” (with Kosuke Imai and Naoko Taniguchi). American Journal of Political Science, Vol. 51, Issue 3, pp. 669-687, July 2007.
- "Does Conjoint Analysis Mitigate Social Desirability Bias?" (with Zachary Markovich and Teppei Yamamoto). Political Analysis, forthcoming.
Published Articles
- “Does Conjoint Analysis Mitigate Social Desirability Bias?” (with Zachary Markovich and Teppei Yamamoto). Political Analysis, Vol. 30, Issue 4, pp. 535-549, October 2022. [SSRN][DOI] [Replication Package]
- “Measuring Voters’ Multidimensional Policy Preferences with Conjoint Analysis: Application to Japan’s 2014 Election” (with Daniel Smith and Teppei Yamamoto). Political Analysis, Vol. 26, Issue 2, pp. 190-209, April 2018. [SSRN] [DOI] [Replication Package]
- “Should Candidates Smile to Win Elections?: An Application of Automated Face Recognition Technology” (with Tadashi Komatsu and Fumio Nakaya). Political Psychology, Vol. 33, Issue 6, pp. 925–933, December 2012. [SSRN] [DOI] [Replication Package]
- “Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment” (with Kosuke Imai and Naoko Taniguchi). American Journal of Political Science, Vol. 51, Issue 3, pp. 669-687, July 2007. [SSRN] [DOI] [Replication Package]
Also, see:
Other Topics
- “The Opportunity Cost of Conflict: Statistically Comparing Israel and Synthetic Israel” (with Asher Mayerson). Political Science Research and Methods, Vol. 3, No. 3, pp. 609-618, September 2015. [SSRN] [DOI] [Replication Package]
Work in Progress
- “Avoiding Measurement Error Bias in Conjoint Analysis,” with Katherine Clayton, Aaron Kaufman, Gary King, and Mayya Komisarchik.
Also, see:
Japanese Politics
- “Winning Elections with Unpopular Policies: Understanding Single-Party Dominance in Japan” (with Shusei Eshima, Shiro Kuriwaki, and Daniel M. Smith).