Interdisciplinary Seminar in Quantitative Methods Archive 2014

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.

2014-2015 Series

Quantifying Complexity

September 10, 2014: Scott Page, Complex Systems, Political Science, and Economics, University of Michigan

 

How do Climate Models Compare with Reality Over the Tropics from 1958-2012? HAC-Robust Trend Comparisons Among Climate Series with Possible Intercept Shifts

September 24, 2014: Timothy J. Vogelsang, Economics, Michigan State University

 

Why Does the American National Election Study Overestimate Voter Turnout?

October 8, 2014: Simon Jackman, Political Science, Stanford University

 

Estimating the Impacts of Program Benefits: Using Instrumental Variables with Underreported and Imputed Data

October 22, 2014: Mel Stephens, Economics, University of Michigan

 

Using Experiments to Estimate Geographic Variation in Racially Polarized Voting

November 5, 2014: Kevin M. Quinn, School of Law, University of California at Berkeley

 

Mitigating the Usual Limitations of the basic Regression-Discontinuity Design: Theory and Three Empirical Demonstrations from Design Experiment

November 19, 2014: Thomas D. Cook, Sociology, Psychology, and Education and Social Policy, Northwestern University

 

Statisticians (Social Science) and Data Scientists (Machine Learners): Let’s Talk

December 3, 2014: Neal Beck, Department of Politics, New York University

 

Essential Ideas of Causal Inference in Experiments and in Observational Studies

February 11, 2015: Don Rubin, Statistics, Harvard University

 

Measuring Political Knowledge in the Mass Public: Calibrating a Useful Instrument

February 25, 2015: William G. Jacoby, Political Science, Michigan State University

 

New Developments in Mediation Analysis

March 11, 2015: Tyler J. VanderWeele, Epidemiology and Biostatistics, Harvard School of Public Health

 

Assessing and enhancing the generalizability of randomized trials to target populations

March 25, 2015: Elizabeth A. Stuart, Mental Health and Biostatistics, Johns Hopkins Bloomberg School of Public Health

 

Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the School Voucher System in Chile

April 8, 2015: Luke Keele, Political Science, Penn State

 

Strong Control of the Family-wise Error Rate in Observational Studies

April 22, 2015: Dylan Small, Statistics, Wharton School, University of Pennsylvania

 

An empirical model of network formation: detecting homophily when agents are heterogeneous

May 6, 2015: Bryan S. Graham, Economics, University of California at Berkeley

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