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The econometrics group at Michigan includes four faculty members in applied econometrics. In addition to the first year econometrics sequence, we teach an advanced econometric theory field sequence and an applied econometrics sequence in the second year. We have particular research interests in experimental design, randomization inference, nonparametric identification, clustering, measurement error, and causal inference. Students who specialize in econometrics also typically take courses in the Statistics department here at Michigan.

   

   

   

Primary Appointment outside the Economics Department

Ross School of Business

Recent Graduate Student Placement Locations

UC San Diego

UC Santa Barbara

University of Miami

University of Warwick

University of Chicago Booth
School of Business

Seminars, Reading Groups, Lunches, etc.

None currently.

Awards

Selected Recent Publications

Kowalski, “Behaviour within a Clinical Trial and Implications for Mammography Guidelines.” Review of Economic Studies. 2023.

Kowalski, Brown, and Lurie, “Long-Term Impacts of Childhood Medicaid Expansions on Outcomes in Adulthood,” Review of Economic Studies. 2020.

Kowalski, “How to Examine External Validity Within an Experiment.” Journal of Economics and Management Strategy. 2023.

Kowalski, “Reconciling Seemingly Contradictory Results from the Oregon Health Insurance Experiment and the Massachusetts Health Reform.” Review of Economics and Statistics. 2023.

Kowalski, “Mammograms and Mortality: How Has the Evidence Evolved?” Journal of Economic Perspectives. 2021.

Kowalski, “Censored Quantile Instrumental Variable Estimates of the Price Elasticity of Expenditure on Medical Care,” Journal of Business and Economic Statistics, 2016.

Stephens, “Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data,” The Review of Economics and Statistics, 2019. (Joint with Unayama.)

Wuthrich, Elliot, and Kudrin, "Detecting p-Hacking," Econometrica: Journal of the Econometric Society, 2022

Wuthrich, Chernozhukov, and Zhu, "An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic Controls," Journal of the American Statistical Association, 2021.

Wuthrich, Muralidharan, and Romero, "Factorial Designs, Model Selection, and (Incorrect) Inference in Randomized Experiments," The Review of Economics and Statistics, 2023.