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Does economics add up? An introduction to meta-regression analysis

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  • T.D. Stanley

    (Hendrix College)

Abstract

Meta-analysis is the statistical analysis of an entire empirical literature. It seeks to summarize, evaluate and analyse what we know about a given empirical question, phenomenon, or effect. Meta-regression analysis (MRA) is meta-econometrics, uses the very tools that produce economics research, and provides a rigorous, objective alternative to conventional narrative reviews in economics. MRA often reveals surprising truths about economics. To illustrate these methods, I discuss meta-analyses of the employment effect of the minimum wage, efficiency wages, the natural rate hypothesis and unemployment hysteresis, the last two of which provide a rigorous, empirical falsification of the natural rate hypothesis.

Suggested Citation

  • T.D. Stanley, 2013. "Does economics add up? An introduction to meta-regression analysis," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 10(2), pages 207-220.
  • Handle: RePEc:elg:ejeepi:v:10:y:2013:i:2:p207-220
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    References listed on IDEAS

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    2. Nijkamp, Peter & Poot, Jacques, 2004. "Meta-analysis of the effect of fiscal policies on long-run growth," European Journal of Political Economy, Elsevier, vol. 20(1), pages 91-124, March.
    3. T. D. Stanley & Stephen B. Jarrell, 2005. "Meta‐Regression Analysis: A Quantitative Method of Literature Surveys," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 299-308, July.
    4. 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.
    5. Stanley, T. D. & Doucouliagos, Chris, 2007. "Identifying and correcting publication selection bias in the efficiency-wage literature: Heckman Meta-Regression," Working Papers eco_2007_11, Deakin University, Department of Economics.
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    7. Stanley, T. D. & Jarrell, Stephen B. & Doucouliagos, Hristos, 2010. "Could It Be Better to Discard 90% of the Data? A Statistical Paradox," The American Statistician, American Statistical Association, vol. 64(1), pages 70-77.
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    11. T.D. Stanley & Hristos Doucouliagos & Margaret Giles & Jost Heckemeyer & Robert Johnston & Patrice Laroche & Jon Nelson & Martin Paldam & Jacques Poot & Geoff Pugh & Randall Rosenberger & Katja Rost, 2013. "Meta-analysis of economics research reporting guidelines," Post-Print hal-02137661, HAL.
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    15. Blanchard, Olivier J. & Summers, Lawrence H., 1987. "Hysteresis in unemployment," European Economic Review, Elsevier, vol. 31(1-2), pages 288-295.
    16. Eric Krassoi Peach & T. Stanley, 2009. "Efficiency Wages, Productivity and Simultaneity: A Meta-Regression Analysis," Journal of Labor Research, Springer, vol. 30(3), pages 262-268, September.
    17. T. D. Stanley, 2005. "Integrating the Empirical Tests of the Natural Rate Hypothesis: A Meta‐Regression Analysis," Kyklos, Wiley Blackwell, vol. 58(4), pages 611-634, November.
    18. Tomáš Havránek, 2010. "Rose effect and the euro: is the magic gone?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(2), pages 241-261, June.
    19. Hristos Doucouliagos & T. D. Stanley, 2009. "Publication Selection Bias in Minimum‐Wage Research? A Meta‐Regression Analysis," British Journal of Industrial Relations, London School of Economics, vol. 47(2), pages 406-428, June.
    20. Neal S Young, 2008. "Why Current Publication May Distort Science," Working Papers id:1757, eSocialSciences.
    21. Neal S Young & John P A Ioannidis & Omar Al-Ubaydli, 2008. "Why Current Publication Practices May Distort Science," PLOS Medicine, Public Library of Science, vol. 5(10), pages 1-5, October.
    22. T.D. Stanley & Hristos Doucouliagos & Margaret Giles & Jost H. Heckemeyer & Robert J. Johnston & Patrice Laroche & Jon P. Nelson & Martin Paldam & Jacques Poot & Geoff Pugh & Randall S. Rosenberger & , 2013. "Meta-Analysis Of Economics Research Reporting Guidelines," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 390-394, April.
    23. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer.
    24. Chris Doucouliagos & T.D. Stanley, 2013. "Are All Economic Facts Greatly Exaggerated? Theory Competition And Selectivity," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 316-339, April.
    25. T. D. Stanley, 2004. "Does unemployment hysteresis falsify the natural rate hypothesis? a meta‐regression analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 18(4), pages 589-612, September.
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    Cited by:

    1. de Linde Leonard, Megan & Stanley, T.D., 2015. "Married with children: What remains when observable biases are removed from the reported male marriage wage premium," Labour Economics, Elsevier, vol. 33(C), pages 72-80.
    2. Obsa Urgessa Ayana & Jima Degaga, 2022. "Effects of rural electrification on household welfare: a meta-regression analysis," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 209-261, June.
    3. Guilherme Spinato Morlin & Nikolas Passos & Riccardo Pariboni, 2021. "Growth theory and the growth model perspective: Insights from the supermultiplier," Department of Economics University of Siena 869, Department of Economics, University of Siena.
    4. Kluve, Jochen & Puerto, Olga Susana & Robalino, David A. & Romero, Jose M. & Rother, Friederike & Stöterau, Jonathan & Weidenkaff, Felix & Witte, Marc J, 2016. "Do Youth Employment Programs Improve Labor Market Outcomes? A Systematic Review," IZA Discussion Papers 10263, Institute of Labor Economics (IZA).
    5. Doucouliagos, Hristos & Paldam, Martin & Stanley, T.D., 2018. "Skating on thin evidence: Implications for public policy," European Journal of Political Economy, Elsevier, vol. 54(C), pages 16-25.

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    More about this item

    Keywords

    meta-regression analysis; empirical economics; minimum wage; efficiency wage; natural rate hypothesis;
    All these keywords.

    JEL classification:

    • E00 - Macroeconomics and Monetary Economics - - General - - - General

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