Workshop on Quantitative Research Methods in Education, Health, and Social Sciences
The Workshop on Quantitative Research Methods in Education, Health, and Social Sciences serves as an important venue on the University of Chicago campus for building an intellectual community of colleagues who share methodological interests. Workshop participants meet biweekly to discuss working papers and brainstorm solutions to methodological problems encountered in ongoing research. Participants include faculty members, researchers, and students from the Social Sciences Division, Health Studies, Statistics, Public Policy, the National Opinion Research Center, the Consortium for Chicago School Research, and colleagues from the University of Illinois in Chicago. This workshop is sponsored by the Committee on Education, the Center for Health Statistics, the National Opinion Research Center and the Division of the Social Sciences.
The Workshop meets every other Friday from 1100 am until 12:30 pm in NORC Room 344. Below is the confirmed schedule:
Jan 18
TBA
Feb 1
Kazuo Yamaguchi, Professor, Department of Sociology, University of Chicago
Title: Causal analysis for linear regression with a latent-class treatment variable
Feb 15
Yu Xie, Otis Dudley Duncan University Professor of Sociology, Statistics, and Public Policy, and Research Professor at ISR, University of Michigan; Visiting Chair Professor, Peking University
Title: Modeling individual-level heterogeneity with agent-based modeling
Mar 1
James Heckman, Henry Schultz Distinguished Service Professor, Department of Economics, Harris School of Public Policy Studies, School of Law; Professor of Science and Society, University College Dublin; Senior Research Fellow, American Bar Foundation and Rodrigo Pinto, Doctoral Student, Department of Economics, University of Chicago
Title: Causal analysis after Haavelmo: Definitions and a unified analysis of identification
Apr 5
TBA
Apr 19
Albert Madansky, H.G.B. Alexander Professor Emeritus of Business Administration, Chicago Booth School of Business, University of Chicago
Title: On sampling design issues when deadling with zeros
May 3
NO WORKSHOP
May 9 | Thu
Michael Sobel, Professor of Statistics, Professor of Sociology, Columbia University
Title: Causal Inference for (fMRI) Time Series Data with Systematic Errors of Measurement in a Balanced On/Off Study of Social Evaluative Threat
Please note slight variation in schedule; workshop this week will be held on Thu May 9 at 400 pm; NORC (1155 East 60th Street) Room 344
May 31
TBA