Methods for Using Selection on Observed Variables to Address Selection on Unobserved Variables

Todd Elder, Timothy Conley, Christopher R. Taber and Joseph Altonji
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Christopher R. Taber: University of Wisconsin

No 137, 2009 Meeting Papers from Society for Economic Dynamics

Abstract: In this paper we develop new estimation methods for identifying 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. Our approach involves the use of factor model as a way to infer properties of unobserved covariates from the observed covariates. We propose a confidence interval estimator that covers the true value of the causal effect.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:red:sed009:137

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