Replication data for: Identification of and Correction for Publication Bias

Principal Investigator(s): View help for Principal Investigator(s) Isaiah Andrews; Maximilian Kasy

Name	File Type	Size	Last Modified
Code-and-Data-2019			10/27/2021 10:04:AM
LICENSE.txt	text/plain	14.6 KB	12/07/2019 03:25:AM

Project Citation:

Andrews, Isaiah, and Kasy, Maximilian. Replication data for: Identification of and Correction for Publication Bias. Nashville, TN: American Economic Association [publisher], 2019. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-07. https://doi.org/10.3886/E116208V1

Project Description

Summary: Some empirical results are more likely to be published than others. Selective publication leads to biased estimates and distorted inference. We propose 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 on meta-studies. For known conditional publication probabilities, we propose bias-corrected estimators and confidence sets. We apply our methods to recent replication studies in experimental economics and psychology, and to a meta-study on the effect of the minimum wage. When replication and meta-study data are available, we find similar results from both.

Scope of Project

Subject Terms: Publication Bias; Replication; Meta-analysis

JEL Classification:
      C13 Estimation: General
      C90 Design of Experiments: General
      I23 Higher Education; Research Institutions
      J23 Labor Demand
      J38 Wages, Compensation, and Labor Costs: Public Policy
      L82 Entertainment; Media

Data Type(s): observational data; program source code; experimental data

Methodology

Data Source: Data are drawn from eonomics replication experiments by Camerer et al. (2016), psychology replication experiments by the Open Science Collaboration (2015), and a metastudy by Wolfson and Belman (2015) on employment and the minimum wage.

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Published Versions

V1 [2019-12-07]

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