Identification of and Correction for Publication Bias

By Maximilian Kasy, Isaiah Andrews. The American Economic Review, 2017

342 citations recorded by the source corpus.

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.(JEL C13, C90, I23, J23, J38, L82)

Subfields: Family Practice, History and Philosophy of Science, Safety Research

View Paper: https://www.semanticscholar.org/paper/bfc514cc0b64ef34a96d3c0248223c739b9930d1

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In Family Practice

  1. Abel Brodeur
  2. Armenak Antinyan
  3. Philipp Heimberger
  4. E. Linos
  5. Ruud A. De Mooij
  6. Nikolai Cook
  7. Stefano DellaVigna
  8. Anthony Heyes

In History and Philosophy of Science

  1. Abel Brodeur
  2. Armenak Antinyan
  3. Philipp Heimberger
  4. E. Linos
  5. K. Muralidharan
  6. Mauricio Romero
  7. K. Wuthrich
  8. Ruud A. De Mooij

In Safety Research

  1. Tomáš Havránek
  2. E. Linos
  3. P. Bom
  4. T. Stanley
  5. Mauricio Romero
  6. Abel Brodeur
  7. Armenak Antinyan
  8. Philipp Heimberger

Citations in the corpus