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Meta-Regression Approximations to Reduce Publication Selection Bias

  • T.D. Stanley

    ()

  • Hristos Doucouliagos

    ()

Publication selection bias represents a serious challenge to the integrity of all empirical sciences. We develop meta-regression approximations that are shown to reduce this bias and outperform conventional meta-analytic methods. Our approach is derived from Taylor polynomial approximations to the conditional mean of a truncated distribution. Monte Carlo simulations demonstrate how a new hybrid estimator provides a practical solution. These meta-regression methods are applied to several policy-relevant areas of research including: antidepressant effectiveness, the value of a statistical life and the employment effect of minimum wages and alter what we think we know.

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File URL: http://www.deakin.edu.au/buslaw/aef/workingpapers/papers/2011_4.pdf
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Paper provided by Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance in its series Economics Series with number 2011_4.

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Date of creation: 25 May 2011
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Handle: RePEc:dkn:econwp:eco_2011_4
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Web page: http://www.deakin.edu.au/buslaw/aef/index.php

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  1. Bellavance, Franois & Dionne, Georges & Lebeau, Martin, 2009. "The value of a statistical life: A meta-analysis with a mixed effects regression model," Journal of Health Economics, Elsevier, vol. 28(2), pages 444-464, March.
  2. Marin C. Gemmill & Joan Costa-Font & Alistair McGuire, 2007. "In search of a corrected prescription drug Elasticity estimate: a meta-regression approach," Health Economics, John Wiley & Sons, Ltd., vol. 16(6), pages 627-643.
  3. J. Bradford De Long & Kevin Lang, . "Are All Economic Hypotheses False?," J. Bradford De Long's Working Papers _117, University of California at Berkeley, Economics Department.
  4. 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, 06.
  5. T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, 07.
  6. Bowland, Brad J. & Beghin, John C., 2001. "Robust Estimates of Value of a Statistical Life for Developing Economies," Staff General Research Papers 5196, Iowa State University, Department of Economics.
  7. Feld, Lars P. & Heckemeyer, Jost Henrich, 2008. "FDI and Taxation: A Meta-Study," ZEW Discussion Papers 08-128, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  8. 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, 02.
  9. 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.
  10. 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.
  11. T.D. Stanley & Stephen B. Jarrell & Hristos Doucouliagos, 2009. "Could It Be Better to Discard 90% of the Data? A Statistical Paradox," Economics Series 2009_13, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  12. 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.
  13. Havranek, Tomas, 2009. "Rose Effect and the Euro: Is the Magic Gone?," MPRA Paper 18479, University Library of Munich, Germany, revised 07 Nov 2009.
  14. Viscusi, W Kip, 1993. "The Value of Risks to Life and Health," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1912-46, December.
  15. T.D Stanley & Hristos Doucouliagos, 2007. "Identifying and Correcting Publication Selection Bias in the Efficiency-Wage Literature: Heckman Meta-Regression," Economics Series 2007_11, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  16. 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, 07.
  17. Joan Costa‐Font & Marin Gemmill & Gloria Rubert, 2011. "Biases in the healthcare luxury good hypothesis?: a meta‐regression analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 95-107, January.
  18. Mandel, Micha & Rinott, Yosef, 2009. "A Selection Bias Conflict and Frequentist versus Bayesian Viewpoints," The American Statistician, American Statistical Association, vol. 63(3), pages 211-217.
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