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Simulating an empirical paper by the rational economist

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  • Martin Paldam

    (Aarhus University)

Abstract

Papers in economics often try to find the ‘best’ estimate of a parameter. If researchers behave as predicted by economic theory, the research process can be modeled and simulated. The ‘best’ estimate is selected from $$J$$ J regression experiments by a selection rule, SR, which gives the researcher’s preferences for the fit (significance) and size of the estimated parameter. Eight $$J$$ J s and five SRs are considered. To find a stable pattern for all 40 cases, 70 million regressions are simulated. The key results are: (1) All rational SRs cause the selected estimate to be substantially biased in the direction of the priors of the researcher. (2) All such rules give almost the same bias. It can be assessed from a set of estimates, and (3) the standard PET estimate of the meta-average reduces the bias by more than 90 %.

Suggested Citation

  • Martin Paldam, 2016. "Simulating an empirical paper by the rational economist," Empirical Economics, Springer, vol. 50(4), pages 1383-1407, June.
  • Handle: RePEc:spr:empeco:v:50:y:2016:i:4:d:10.1007_s00181-015-0971-6
    DOI: 10.1007/s00181-015-0971-6
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    References listed on IDEAS

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    1. T.D. Stanley & Hristos Doucouliagos, 2010. "Picture This: A Simple Graph That Reveals Much Ado About Research," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 170-191, February.
    2. 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.
    3. 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 (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-40.
    4. Marwell, Gerald & Ames, Ruth E., 1981. "Economists free ride, does anyone else? : Experiments on the provision of public goods, IV," Journal of Public Economics, Elsevier, vol. 15(3), pages 295-310, June.
    5. John R. Carter & Michael D. Irons, 1991. "Are Economists Different, and If So, Why?," Journal of Economic Perspectives, American Economic Association, vol. 5(2), pages 171-177, Spring.
    6. 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.
    7. 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.
    8. Neal S Young, 2008. "Why Current Publication May Distort Science," Working Papers id:1757, eSocialSciences.
    9. 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.
    10. Martin Paldam, 2015. "The rational economist in research: A model," Economics Working Papers 2015-16, Department of Economics and Business Economics, Aarhus University.
    11. John Ioannidis & Chris Doucouliagos, 2013. "What'S To Know About The Credibility Of Empirical Economics?," Journal of Economic Surveys, Wiley Blackwell, vol. 27(5), pages 997-1004, December.
    12. 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.
    13. 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.
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    Cited by:

    1. Paldam Martin, 2021. "Methods Used in Economic Research: An Empirical Study of Trends and Levels," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 28-42, January.
    2. Paldam, Martin, 2018. "A model of the representative economist, as researcher and policy advisor," European Journal of Political Economy, Elsevier, vol. 54(C), pages 5-15.

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    More about this item

    Keywords

    Meta-analysis; Selection of regressions; Publication bias;
    All these keywords.

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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