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Meta-analysis and publication bias: How well does the FAT-PET-PEESE procedure work? A replication study of Alinaghi & Reed (Research Synthesis Methods, 2018)

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  • Hong, Sanghyun

Abstract

A meta-analysis is a tool for aggregating estimates of a similar "effect" across many studies. Publication bias is the phenomenon where literature is sample selected in favor of studies having statistically significant results and/or having estimates that satisfy pre-conceived expectations. A popular procedure used for conducting meta-analyses in the presence of publication bias is the FAT-PET-PEESE (FPP) procedure. In a recent paper published in Research Synthesis Methods, Alinaghi and Reed (2018), utilizing Monte Carlo simulations, report that the FPP procedure does not work well when used in 'realistic' data environments where true effects differ both across and within studies. AR's findings are important because the FPP approach is dominant in the economics meta-analysis literature. I replicate their results and discover two mistakes, which I subsequently correct. The first mistake is found in a descriptive statistics table, misrepresenting the overview of simulated dataset. The second is associated with the fixed effect estimation, generating erroneous estimated effects and Type I error. Further, I extend their analysis by making their simulation environment even more realistic. Despite producing somewhat different results, my replications generally confirm AR's conclusions about the unreliability of the FPP procedure in realistic data environments.

Suggested Citation

  • Hong, Sanghyun, 2019. "Meta-analysis and publication bias: How well does the FAT-PET-PEESE procedure work? A replication study of Alinaghi & Reed (Research Synthesis Methods, 2018)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 3(2019-4), pages 1-22.
  • Handle: RePEc:zbw:ireejl:206820
    DOI: 10.18718/81781.13
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    References listed on IDEAS

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    1. Garret Christensen & Edward Miguel, 2018. "Transparency, Reproducibility, and the Credibility of Economics Research," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 920-980, September.
    2. Peter Nijkamp & Jacques Poot, 2005. "The Last Word on the Wage Curve?," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 421-450, July.
    3. Randolph Luca Bruno & Maria Cipollina, 2018. "A meta†analysis of the indirect impact of foreign direct investment in old and new EU member states: Understanding productivity spillovers," The World Economy, Wiley Blackwell, vol. 41(5), pages 1342-1377, May.
    4. Ángel Melguizo & José González-Páramo, 2013. "Who bears labour taxes and social contributions? A meta-analysis approach," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(3), pages 247-271, August.
    5. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2012. "Demand for gasoline is more price-inelastic than commonly thought," Energy Economics, Elsevier, vol. 34(1), pages 201-207.
    6. Megan Linde Leonard & T. D. Stanley & Hristos Doucouliagos, 2014. "Does the UK Minimum Wage Reduce Employment? A Meta-Regression Analysis," British Journal of Industrial Relations, London School of Economics, vol. 52(3), pages 499-520, September.
    7. Mekbib Gebretsadik Haile & Geoff Pugh, 2013. "Does exchange rate volatility discourage international trade? A meta-regression analysis," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 22(3), pages 321-350, April.
    8. Tomáš Havránek, 2015. "Measuring Intertemporal Substitution: The Importance Of Method Choices And Selective Reporting," Journal of the European Economic Association, European Economic Association, vol. 13(6), pages 1180-1204, December.
    9. Tomas Havranek & Zuzana Irsova & Tomas Vlach, 2018. "Measuring the Income Elasticity of Water Demand: The Importance of Publication and Endogeneity Biases," Land Economics, University of Wisconsin Press, vol. 94(2), pages 259-283.
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    Cited by:

    1. Reed, W. Robert, 2019. "Meta-analysis and publication bias: How well does the FAT-PET-PEESE procedure work? A reply to Hong (International Journal for Re-Views in Empirical Economics, 2019)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, vol. 3(2019-5), pages 1-4.

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    More about this item

    Keywords

    Meta-Analysis; Publication Bias; Funnel Asymmetry Test (FAT); Precision Effect Estimate with Standard Error (PEESE); Monte Carlo Simulations; Replication Study;
    All these keywords.

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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