Publications in Refereed Journals “Relaxing Assumptions, Improving Inference: Integrating Machine Learning and the Linear Regression.” 2023. American Political Science Review. 117(3): 1053-1069. “Causal Inference through the Method of Direct Estimation.” Journal of Politics. 85(2): 421–435. With Dustin Tingley. “Scaling Data from Multiple Sources.” 2021. Political Analysis. 29(2): 212–235. With Ted Enamorado and Gabriel Lopez-Moctezuma. “The Effects of Political Institutions on the Extensive and Intensive Margins of Trade.” 2019. International Organization. 73(4): 755–792. With In Song Kim and John Londregan. “Estimating Spatial Preferences from Votes and Text.” 2018. Political Analysis. 26(2): 210–229. With In Song Kim and John Londregan. “Sparse Estimation with Uncertainty: Subgroup Analysis in Large Dimensional Designs.” 2017. Political Analysis. 25(1): 1–40. Lead Article. With Dustin Tingley. “Robust Estimation of Inverse Propensity Weights for Marginal Structural Models.” 2015, Journal of the American Statistical Association. 110(511): 1013-1023. Lead Article. With Kosuke Imai. “Covariate Balancing Propensity Score.” 2014. Journal of the Royal Statistical Society: Series B. 76(1): 243–263. With Kosuke Imai. “Estimating Treatment Effect Heterogeneity in Randomized Program Evaluation.” 2013. Annals of Applied Statistics. 7(1): 443–470. With Kosuke Imai. “Finding Jumps in Otherwise Smooth Curves: Identifying Critical Events in Political Processes.” 2010. Political Analysis 18(1): 57–77. With Kevin H. Eng. |
Chapters in Edited Volumes “Subgroup Analysis: Pitfalls, Promise, and Honesty.” 2021. Advances in Experimental Political Science. Cambridge University Press (J. Druckman and D. Green, eds.). |
Working Papers “Improving Variable Importance Measures.” With Zenobia Chan. “Sparse Multilevel Regression and Poststratification.” With Max Goplerud, Shiro Kuriwaki, and Dustin Tingley. “Bicoordinate Descent for the LASSO.” With In Song Kim and John Londregan. |
Published Software “PLCE: R package for Semiparametrically Efficient Causal Effect Estimation with Binary and Continuous Treatment Variables.” Available through the Comprehensive R Archive Network. “sparsereg: R package for Sparse Bayesian Models for Regression, Subgroup Analysis, and Panel Data.” With Dustin Tingley. Available through the Comprehensive R Archive Network. “CBPS: R Package for Covariate Balancing Propensity Score.” With Kosuke Imai and Christian Fong. Available through the Comprehensive R Archive Network. “FindIt: R Package for Estimating Heterogeneous Treatment Effects.” With Kosuke Imai. Available through the Comprehensive R Archive Network. |
Grants and Awards Minerva Research Initiative Grant. “Reforging Identity: Comparative Ethnographic Studies of Influence Operations in Taiwan and Estonia.” $852,031. Stanley Kelley, Jr. Award for Excellence in Teaching. Department of Politics, Princeton University. May 12, 2021. Gosnell Prize for Excellence in Political Methodology, for “Sparse Estimation with Uncertainty: Subgroup Analysis in Large Dimensional Designs.” With Dustin Tingley. July 22, 2016. Thomas R. Ten Have Memorial Award for Best Poster, for “Identification of Treatment Effect Heterogeneity as a Variable Selection Problem.” With Kosuke Imai. Atlantic Causal Inference Conference, Ann Arbor. May 20, 2011. Nomination for Best Paper, for “Identification of Treatment Effect Heterogeneity as a Variable Selection Problem.” With Kosuke Imai. Annual Midwest Political Science Association Meeting, Chicago. April 1, 2011. Department of Political Science Teaching Award. University of Wisconsin-Madison. Fall, 2007. |