Jens Hainmueller
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Jens Hainmueller is a Professor in the Department of Political Science at Stanford University and holds a courtesy appointment in the Stanford Graduate School of Business. His research interests include statistical methods, causal inference, immigration, and political economy. He has published over 60 articles, many of them in top general science journals and top field journals in political science, statistics, economics, and business. His statistical methods are used by organizations to conduct causal inferences in various settings. He has also published three open source software packages and his research has received awards and funding from organizations such as Schmidt Futures, the Robin Hood Foundation, the Robert Wood Johnson Foundation, the National Science Foundation, the National Institute of Health, the Society of Political Methodology, and the National Bureau of Economic Research. In 2016 he was selected as an Andrew Carnegie Fellow.

Hainmueller received his PhD from Harvard University and also studied at the London School of Economics, Brown University, and the University of Tuebingen. Before joining Stanford, he served on the faculty of the Massachusetts Institute of Technology.

Google Scholar Citation Page.
Social Science Research Network Page.


Selected Publications:

"Improving refugee integration through data-driven algorithmic assignment". Science.

"Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program." Journal of the American Statistical Association.

"Entropy Balancing: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies." Political Analysis


"A randomized controlled design reveals barriers to citizenship for low-income immigrants?  Proceedings of the National Academy of Sciences.

"
Protecting Unauthorized Immigrant Mothers Improves their Children's Mental Health". Science.


"Causal Inference in Conjoint Analysis: Understanding Multi-Dimensional Choices via Stated Preference Experiments''. Political Analysis.

"How economic, humanitarian, and religious concerns shape European attitudes toward asylum seekers". Science.


"Naturalization Fosters the Long-Term Political Integration of Immigrants". Proceedings of the National Academy of Sciences

"Kernel Regularized Least Squares: Reducing Misspecification Bias with a Flexible and Interpretable Machine Learning Approach." Political Analysis.