The Quantitative Research Methods Workshop features cutting-edge research engaged in developing and employing quantitative methods in the social sciences. The workshop will host prominent and up-and-coming scholars in a variety of disciplines, who will present work on a range of topics including experimental design, causal identification in observational studies, text analysis, and election forensics. The series is being sponsored by the ISPS Center for the Study of American Politics and The Whitney and Betty MacMillan Center for International and Area Studies at Yale with support from the Edward J. and Dorothy Clarke Kempf Fund.
The workshop meets on selected Thursdays from 12:00-1:15 p.m. in Room A002 at ISPS, 77 Prospect Street and is open to the Yale community including Yale faculty, postdoctoral trainees, graduate & professional students, and invited scholars from other academic instutions. Lunch will be served.
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Scholars from nearby academic institutions may link here to subscribe.
Faculty Organizers: Peter Aronow, Professor of Political Science; and Josh Kalla, Assistant Professor of Political Science
Graduate Student Coordinator: Drew Stommes, Department of Political Science
Coordinator & Contact for Guest Travel: Pamela Greene
Fall 2019 Schedule
|DATE||SPEAKER & TITLE|
|SEP 5||Jacqueline Mauro, Postdoctoral Scholar, School of Information, UC Berkeley
“Nonparametric Causal Estimators for Multivariate Missing Data: An Application to Estimate Treatment Effects from Digital Trace Data”
|SEP 19||Benjamin Lauderdale, Professor of Political Science, University College London
“Measuring Attitudes towards Public Spending using a Multivariate Tax Summary Experiment”
|SEP 26||Maria Cuellar, Assistant Professor of Criminolgy, University of Pennsylvania
“A Nonparametric Projection-based Estimator for the Probability of Causation”
|OCT 3||D. Sunshine Hillygus, Professor of Political Science, Duke University
|Dawn Teele, Assistant Professor of Political Science, University of Pennsylvania
“Estimating the Gender Gap”
*Rescheduled for Wednesday, November 6 at 2:00-3:15 p.m. in ISPS Room A002
|NOV 21||Andrew Gelman, Professor of Statistics and Political Science, Columbia University
“Slamming the Sham: A Bayesian Model for Adaptive Adjustment with Noisy Control Data”
|DEC 5||Nicole Pashley, PhD Candidate in Statistics, Harvard University
“Causal Inference for Multiple Non-Randomized Treatments using Fractional Factorial Designs”