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.

Sponsors: Center for Political Studies (CPS), Department of Economics, Department of Political Science, Michigan Institute for Teaching and Research in Economics (MITRE), Quantitative Methodology Program (QMP)

Location: Eldersveld Room, 5670 Haven Hall

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

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

Machine Learning Methods for Individualizing Just in Time Adaptive Interventions

September 11, 2013: Susan Murphy, Statistics, University of Michigan

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The Analysis of Survey Data: Past Controversies, Current Orthodoxy, and a Proposed Future Paradigm

September 25, 2013: Rod Little, Biostatistics, University of Michigan

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Using Vote Counts' Digits to Diagnose Elections (Strategies, Vote Buying and Frauds)

October 9, 2013: Walter Mebane, Political Science/Statistics, University of Michigan

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Double Sampling for Missing Outcome Data in Randomized Experiments

October 23, 2013: Donald Green, Political Science, Columbia University

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Inverse Regression Analysis of Text Data

November 6, 2013: Matt Taddy, Statistics, Chicago Booth, University of Chicago

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Design-Based Analysis of Regression Discontinuities: Some Advantages and Difficulties

November 20, 2013: Thad Dunning, Political Science, University of California at Berkeley

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Public Policy in an Uncertain World

December 4, 2013: Chuck Manski, Economics, Northwestern University

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The Balance-Sample Size Frontier in Matching Methods for Causal Inference

January 24, 2014: Gary King, Political Science, Harvard University

Special day, time, and location: Friday, 12:00-1:30pm, Eldersveld Room-5670 Haven Hall

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Are Participants Good Evaluators?

March 12, 2014: Jeff Smith, Economics/Public Policy, University of Michigan

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Control Function Approaches to Estimating Causal Effects

March 26, 2014: Jeff Wooldridge, Economics, Michigan State University

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An Extreme-Scale Computational Approach to Redistricting Optimization

April 9, 2014: Wendy K Tam Cho, Political Science and National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign

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TBA

April 23, 2014: Stephen W. Raudenbush, Sociology, University of Chicago

Inference on Causal Effects in a Generalized Regression Kink Design

May 7, 2014: Zhuan Pei, Economics, Brandeis University

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Endogenous Stratification in Randomized Experiments

May 21, 2014: Alberto Abadie, Public Policy, HKS, Harvard University

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