Jens Hainmueller

Kimberly Glenn Professor at Stanford University

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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
    A Response to Recent Critiques of Hainmueller, Mummolo and Xu (2019) on Estimating Conditional Relationships
    Jens Hainmueller, Jiehan Liu, Ziyi Liu, Jonathan Mummolo, and Yiqing Xu
    2025
    arXiv Preprint
  2. 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
  3. 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
  4. 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
  5. 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
  6. Nature
    Europeans’ support for refugees of varying background is stable over time
    Kirk Bansak, Jens Hainmueller, and Dominik Hangartner
    Nature, 2023
  7. Political Analysis
    Combining outcome-based and preference-based matching: A constrained priority mechanism
    Avidit Acharya, Kirk Bansak, and Jens Hainmueller
    Political Analysis, 2022
  8. 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
  9. Science
    How economic, humanitarian, and religious concerns shape European attitudes toward asylum seekers
    Kirk Bansak, Jens Hainmueller, and Dominik Hangartner
    Science, 2016
  10. 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
  11. Political Analysis
    Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies
    Jens Hainmueller
    Political Analysis, 2012
  12. 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