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Interdisciplinary Seminar in Quantitative Methods (ISQM): Methods for Using Selection on Observed Variables to Address Selection on Unobserved Variables

Chris Taber, University of Wisconsin
Wednesday, April 25, 2018
4:00-5:30 PM
5670 Haven Hall Map

We develop new estimation methods for estimating causal effects based on the idea that the amount of selection on the observed explanatory variables in a model provides a guide to the amount of selection on the unobservables. We discuss two approaches, one of which involves the use of a factor model as a way to infer properties of unobserved covariates from the observed covariates. We construct an interval estimator that asymptotically covers the true value of the causal effect, and we propose related confidence regions that cover the true value with fixed probability.
Building: Haven Hall
Event Type: Workshop / Seminar
Tags: Economics, Politics, Research, seminar
Source: Happening @ Michigan from Interdisciplinary Seminar in Quantitative Methods (ISQM), Institute for Social Research, Department of Economics, Department of Economics Seminars, Department of Political Science