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Meta-analysis in a nutshell: Techniques and general findings

Listed author(s):
  • Paldam, Martin

The purpose of this note is to introduce the technique and main findings of meta-analysis to the reader, who is unfamiliar with the field and has the usual objections. A meta-analysis is a quantitative survey of a literature reporting estimates of the same parameter. The funnel showing the distribution of the results is normally amazingly wide given their t-ratios. Little of the variation can be explained by the quality of the journal or by the estimator used. The funnel has often asymmetries consistent with the most likely priors of the researchers, giving a publication bias.

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Paper provided by Kiel Institute for the World Economy (IfW) in its series Economics Discussion Papers with number 2015-3.

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Date of creation: 2015
Handle: RePEc:zbw:ifwedp:20153
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  1. Martin Paldam, 2013. "Regression Costs Fall, Mining Ratios Rise, Publication Bias Looms, and Techniques Get Fancier: Reflections on Some Trends in Empirical Macroeconomics," Econ Journal Watch, Econ Journal Watch, vol. 10(2), pages 136-156, May.
  2. Summers, Lawrence H, 1991. " The Scientific Illusion in Empirical Macroeconomics," Scandinavian Journal of Economics, Wiley Blackwell, vol. 93(2), pages 129-148.
  3. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2015. "Star Wars: The Empirics Strike Back," PSE Working Papers halshs-01158500, HAL.
  4. Martin Paldam & Laurent Callot, 2010. "Natural funnel asymmetries. A simulation analysis of the three basic tools of meta analysis," Economics Working Papers 2010-01, Department of Economics and Business Economics, Aarhus University.
  5. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
  6. Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-243, May.
  7. Chris Doucouliagos, 1995. "Worker Participation and Productivity in Labor-Managed and Participatory Capitalist Firms: A Meta-Analysis," ILR Review, Cornell University, ILR School, vol. 49(1), pages 58-77, October.
  8. Hristos Doucouliagos & Martin Paldam, 2013. "The Robust Result in Meta-analysis of Aid Effectiveness: A Response to Mekasha and Tarp," Journal of Development Studies, Taylor & Francis Journals, vol. 49(4), pages 584-587, April.
  9. T. D. Stanley, 2008. "Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 103-127, 02.
  10. Stephen B. Jarrell & T. D. Stanley, 1990. "A Meta-Analysis of the Union-Nonunion Wage Gap," ILR Review, Cornell University, ILR School, vol. 44(1), pages 54-67, October.
  11. Reed, W. Robert, 2015. "A Monte Carlo analysis of alternative meta-analysis estimators in the presence of publication bias," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 9, pages 1-40.
  12. Tseday Jemaneh Mekasha & Finn Tarp, 2011. "Aid and Growth What Meta-Analysis Reveals," WIDER Working Paper Series 022, World Institute for Development Economic Research (UNU-WIDER).
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  1. Meta-Analysis in Economics

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