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American Economic Review Vol. 102 No. 3 2012

On the Use of Holdout Samples for Model Selection

Frank Schorfheide; Kenneth I. Wolpin

Department of Economics, University of Pennsylvania, 3718 Locust Walk, Philadelphia, PA 19104-6297.

Abstract

Researchers often hold out data from the estimation of econometric models to use for external validation. However, the use of holdout samples is suboptimal from a Bayesian perspective, which prescribes using the entire sample to form posterior model weights. This paper examines a possible rationale for the use of holdout samples: data-inspired modifications of structural models are likely to lead to an exaggeration of model fit. The use of holdout samples can, in principle, set an incentive for the modeler not to exaggerate model fit.

DOI
10.1257/aer.102.3.477
Volume
102
Issue
3
Pages
477-481
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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