Interdisciplinary Seminar in Quantitative Methods Archive 2015
About the workshops
The goal of the Interdisciplinary Seminar in Quantitative Methods is to provide an interdisciplinary environment where researchers can present and discuss cutting-edge research in quantitative methodology. The talks are aimed at a broad audience, with emphasis on conceptual rather than technical issues. The research presented is varied, ranging from new methodological developments to applied empirical papers that use methodology in an innovative way. We welcome speakers and audiences from all disciplines and fields, including the social, natural, biomedical, and behavioral sciences.
2015-2016 Series
The Price of Religion: Experiments in Willingness to Bear Risks For Others in Islamic Communities
September 9, 2015: Becky Morton, Political Science, New York University
Comparing Preferences Across Actors
September 23, 2015: Jeff Lewis, Political Science, UCLA
Multilevel Bayesian Framework for Modeling the Production, Propagation, and Detection of Ultra-High Energy Cosmic Rays
October 7, 2015: David Ruppert, Engineering, School of Operations, Cornell University
A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil
October 21, 2015: Lutz Kilian, Economics, University of Michigan
Causal Interaction in High Dimension
November 4, 2015: Kosuke Imai, Political Science, Princeton University
Machine Learning and Causal Inference from Experiments
November 18, 2015: Jake Bowers, Political Science and Statistics, University of Illinois at Urbana-Champaign
Mixing Methods: A Bayesian Approach
December 2, 2015: Macartan Humphreys, Political Science, Columbia University
Research Design Meets Market Design: Using Centralized Assignment for Impact Evaluation
February 25, 2016: Josh Angrist, Economics, MIT
Note: special day (Thursday), usual time (4:00p-5:30p)
Bayesian regularized regression for treatment effect estimation with many potential confounders
March 9, 2016: Richard Hahn, Statistics, University of Chicago Booth School of Business
Voter Turnout and Election Outcomes: Or if it Rains on Election Day is that Good for the Republicans?
March 23, 2016: Bob Erikson, Political Science, Columbia University
Counterfactuals, Mediation, Direct and Indirect Effects: The Role of the Ontological Primacy of Causation vs Manipulation
April 6, 2016: James Robins, Epidemiology and Biostatistics, Harvard University
Accounting for Selection Bias due to Censoring by Death
April 20, 2016: Michael Elliott, Biostatistics and Survey Methodology Program, University of Michigan
Mostly Dangerous Econometrics: How to do Model Selection with Inference in Mind
May 4, 2016: Victor Chernozhukov, Economics and Center for Statistics, MIT