Interdisciplinary Seminar in Quantitative Methods (ISQM)

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 will be aimed at a broad audience, with more emphasis on conceptual than technical issues. The research presented will be varied, ranging from new methodological developments to applied empirical papers that use methodology in an innovative way. We welcome speakers and audiences from all fields in the social, natural, and behavioral sciences.

Organizers: Matias Cattaneo and Rocio Titiunik
To be added to the email list, please contact us at: isqm-subscribe@umich.edu.

Location: Eldersveld Room, 5670 Haven Hall

Time: Wednesdays, 4:00 - 5:30pm

Note: Please see event listing for particular changes in location or time.

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 ‚Äč ‚ÄčManipulation

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