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Quarterly Journal of Economics Vol. 139 No. 1 2024

Inference on Winners

Isaiah Andrews1; Toru Kitagawa2; Adam McCloskey3

1 Massachusetts Institute of Technology , United States · 2 Brown University, United States · 3 University of Colorado at Boulder, United States

open access

Abstract

Policy makers, firms, and researchers often choose among multiple options based on estimates. Sampling error in the estimates used to guide choice leads to a winner’s curse, since we are more likely to select a given option precisely when we overestimate its effectiveness. This winner’s curse biases our estimates for selected options upward and can invalidate conventional confidence intervals. This article develops estimators and confidence intervals that eliminate this winner’s curse. We illustrate our results by studying selection of job-training programs based on estimated earnings effects and selection of neighborhoods based on estimated economic opportunity. We find that our winner’s curse corrections can make an economically significant difference to conclusions but still allow informative inference.

DOI
10.1093/qje/qjad043
Volume
139
Issue
1
Pages
305-358
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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