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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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    3. 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.
    4. 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.
    5. 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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    9. T. D. Stanley, 2002. "When all are NAIRU: hysteresis and behavioural inertia," Applied Economics Letters, Taylor & Francis Journals, vol. 9(11), pages 753-757.
    10. Blanchard, Olivier J. & Summers, Lawrence H., 1987. "Hysteresis in unemployment," European Economic Review, Elsevier, vol. 31(1-2), pages 288-295.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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, February.
    16. 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.
    17. 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.
    18. George A. Akerlof, 1982. "Labor Contracts as Partial Gift Exchange," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 97(4), pages 543-569.
    19. Neal S Young, 2008. "Why Current Publication May Distort Science," Working Papers id:1757, eSocialSciences.
    20. 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.
    21. 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.
    22. 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.
    23. Jeroen Klomp & Jakob De Haan, 2010. "Inflation And Central Bank Independence: A Meta‐Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 24(4), pages 593-621, September.
    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.
    6. Guilherme Spinato Morlin & Nikolas Passos & Riccardo Pariboni, 2024. "Growth Theory and the Growth Model Perspective: Insights from the Supermultiplier," Review of Political Economy, Taylor & Francis Journals, vol. 36(3), pages 1130-1155, July.

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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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