Jens Hainmueller (original) (raw)

Jens Hainmueller is the Kimberly Glenn Professor of Political Science and Director of Graduate Studies in Stanford’s Department of Political Science. He co-directs the Stanford Immigration Policy Lab (IPL) and is a Faculty Affiliate at the Stanford Center for Causal Science, the Institute for Human-Centered Artificial Intelligence, and the Europe Center. He is also a member of the Maternal Child Health Research Institute at Stanford’s School of Medicine.

Hainmueller’s research spans statistical methods, causal inference, immigration, and political economy, and he has published 70 articles with over 40,000 citations. Many of his works appear in top journals, including Science, Nature, and PNAS, as well as leading field journals in political science, statistics, economics, and business.

He has developed widely adopted statistical methods—such as synthetic control methods, entropy balancing, average marginal component effects, and GeoMatch algorithms—and created several open-source software packages that support empirical research across disciplines. At Stanford, he teaches course on causal inference and data science.

Hainmueller’s contributions have been recognized with various awards, including the Gosnell Prize for Excellence in Political Methodology, the Warren Miller Prize, the Robert H. Durr Award, and the Emerging Scholar Award from the Society of Political Methodology. He is an Andrew Carnegie Fellow, an elected Fellow of the Society of Political Methodology, and holds an honorary degree from the European University Institute (EUI).

He completed his PhD at Harvard University, with additional studies at the London School of Economics, Brown University, and the University of Tuebingen. Before joining Stanford, he was a faculty member at the Massachusetts Institute of Technology (MIT).

selected publications

1. Working Paper
   National Birth Outcomes and Care Utilization for Infants of Emergency Medicaid Eligible Parents
   Xiaoqian Qian, Lindsay Orr, Danielle Lawrence, Fernando Mendoza, Maria I. Rodriguez, Lisa M. Sanders, and Jens Hainmueller
   2025
   OSF Preprint
2. Working Paper
   A Response to Recent Critiques of Hainmueller, Mummolo and Xu (2019) on Estimating Conditional Relationships
   2025
   arXiv Preprint
3. Nat. Hum. Behav.
   The Impact of Private Hosting on the Integration of Ukrainian Refugees
   Michael Herpell, Moritz Marbach, Niklas Harder, Anastasiya Orlova, Dominik Hangartner, and Jens Hainmueller
   Nature Human Behaviour, 2025
4. AJPS
   “Welcome to France.” Can mandatory integration contracts foster immigrant integration?
   Mathilde Emeriau, Jens Hainmueller, Dominik Hangartner, and David Laitin
   American Journal of Political Science, 2025
   
5. JRSS A
   Does Ad Hoc Language Training Improve the Economic Integration of Refugees? Evidence from Germany’s Response to the Syrian Refugee Crisis
   Moritz Marbach, Ehsan Vallizadeh, Niklas Harder, Dominik Hangartner, and Jens Hainmueller
   Journal of the Royal Statistical Society: Series A, 2025
   
6. Working Paper
   Does Access to Citizenship Confer Socio-Economic Returns? Evidence from a Randomized Control Design
   Jens Hainmueller, Elisa Cascardi, Michael Hotard, Rey Koslowski, Duncan Lawrence, Vasil Yasenov, and David Laitin
   2024
   IZA Discussion Paper No. 16173
7. Nature
   Europeans’ support for refugees of varying background is stable over time
   Kirk Bansak, Jens Hainmueller, and Dominik Hangartner
   Nature, 2023
   
8. Political Analysis
   Combining outcome-based and preference-based matching: A constrained priority mechanism
   Avidit Acharya, Kirk Bansak, and Jens Hainmueller
   Political Analysis, 2022
   
9. Science
   Improving refugee integration through data-driven algorithmic assignment
   Kirk Bansak, Jeremy Ferwerda, Jens Hainmueller, Andrew Dillon, Dominik Hangartner, Duncan Lawrence, and Jeremy Weinstein
   Science, 2018
   
10. Science
    How economic, humanitarian, and religious concerns shape European attitudes toward asylum seekers
    Kirk Bansak, Jens Hainmueller, and Dominik Hangartner
    Science, 2016
    
11. Political Analysis
    Causal inference in conjoint analysis: Understanding multidimensional choices via stated preference experiments
    Jens Hainmueller, Daniel J Hopkins, and Teppei Yamamoto
    Political Analysis, 2014
    
12. Political Analysis
    Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies
    Jens Hainmueller
    Political Analysis, 2012
    
13. JASA
    Synthetic control methods for comparative case studies: Estimating the effect of California’s tobacco control program
    Alberto Abadie, Alexis Diamond, and Jens Hainmueller
    Journal of the American Statistical Association, 2010