Charles E. and Emma H. Morrison Professor
Joel Horowitz’s research is concerned with estimation and inference under weak assumptions about the process that generates the available data. It is also concerned with improving the accuracy of inference with samples of practical size and with using shape restrictions provided by economic theory to improve estimation and inference. He is a former co-editor of Econometrica and Econometric Theory, a Fellow of the Econometric Society and of the American Statistical Association, and an elected member of the International Statistical Institute.
Board of Trustees Professor
Charles Manski’s research spans econometrics, judgement and decision, and the analysis of social policy. He is author of Public Policy in an Uncertain World, Identification for Prediction and Decision, and Identification Problems in the Social Sciences. He has served as Director of the Institute for Research on Poverty and editor of the Journal of Human Resources. He is an elected member of the National Academy of Sciences, and a Fellow of the Econometric Society and of the American Academy of Arts and Sciences.
Ivan Canay is a theoretical econometrician with specific interests in developing tests for assessing models that are partially identified or semi-parametric. His most recent work focuses on subvector inference in models defined by moment inequalities and inference in randomized controlled experiments under covariate adaptive randomization. He is currently an associate editor of the Econometrics Journal.
Eric Auerbach works on identification and estimation with network data. His most recent work studies a linear models in which the regressors and error covary with drivers of link formation in a large sparse network and shows how the model is identified by variation in the regressors unexplained by the distribution of network links.
Current Graduate Students
- Max Tabord-Meehan
- Joseph Hardwick
- Ryan Lee
- Isaac Loh