Identification of and correction for publication bias

Andrews, Isaiah and Kasy, Maximilian ORCID: https://orcid.org/0000-0002-8679-5179 (2017) Identification of and correction for publication bias. NBER Working Paper 23298

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Abstract or Table of Contents

Some empirical results are more likely to be published than others. Such selective publication leads to biased estimates and distorted inference. This paper proposes two approaches for identifying the conditional probability of publication as a function of a study’s results, the first based on systematic replication studies and the second based on meta-studies. For known conditional publication probabilities, we propose median-unbiased estimators and associated confidence sets that correct for selective publication. We apply our methods to recent large-scale replication studies in experimental economics and psychology, and to meta-studies of the effects of minimum wages and de-worming programs.

Item Type: Discussion/ Working Paper (Unspecified)
Research Units: in_Equality and Education
Status: Published
Date Deposited: 11 Dec 2018 09:35
Last Modified: 11 Dec 2018 09:35
URI: https://irihs.ihs.ac.at/id/eprint/4851

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