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Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection

  • T. D. Stanley

This study investigates the small-sample performance of meta-regression methods for detecting and estimating genuine empirical effects in research literatures tainted by publication selection. Publication selection exists when editors, reviewers or researchers have a preference for statistically significant results. Meta-regression methods are found to be robust against publication selection. Even if a literature is dominated by large and unknown misspecification biases, precision-effect testing and joint precision-effect and meta-significance testing can provide viable strategies for detecting genuine empirical effects. Publication biases are greatly reduced by combining two biased estimates, the estimated meta-regression coefficient on precision (1/"Se") and the unadjusted-average effect. Copyright 2008 Blackwell Publishing Ltd and the Department of Economics, University of Oxford.

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Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics and Statistics.

Volume (Year): 70 (2008)
Issue (Month): 1 (02)
Pages: 103-127

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Handle: RePEc:bla:obuest:v:70:y:2008:i:1:p:103-127
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  1. 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.
  2. De Long, J Bradford & Lang, Kevin, 1992. "Are All Economic Hypotheses False?," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1257-72, December.
  3. Andrew Rose, 2004. "A Meta-Analysis of the Effect of Common Currencies on International Trade," NBER Working Papers 10373, National Bureau of Economic Research, Inc.
  4. Peter Nijkamp & Jacques Poot, 2005. "The Last Word on the Wage Curve?," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 421-450, 07.
  5. Florax, Raymond J.G.M., 2001. "Methodological pitfalls in meta-analysis: publication bias," Serie Research Memoranda 0028, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  6. Chris Doucouliagos & Patrice Laroche, 2007. "Unions and Profitability: A Meta-Analysis," Economics Series 2007_01, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
  7. Ashenfelter, Orley & Harmon, Colm & Oosterbeek, Hessel, 1999. "A review of estimates of the schooling/earnings relationship, with tests for publication bias," Labour Economics, Elsevier, vol. 6(4), pages 453-470, November.
  8. Chris Doucouliagos, 2005. "Publication Bias in the Economic Freedom and Economic Growth Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 367-387, 07.
  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. repec:dgr:uvatin:20050001 is not listed on IDEAS
  11. T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, 07.
  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. Jasper M. Dalhuisen & Raymond J. G. M. Florax & JHenri L. F. de Groot & Peter Nijkamp, 2003. "Price and Income Elasticities of Residential Water Demand: A Meta-Analysis," Land Economics, University of Wisconsin Press, vol. 79(2), pages 292-308.
  14. Laroche, P., 2000. "What do Unions do to Productivity? A Meta-Analysis," Papers 2000-5, Groupe de recherche en économie financière et en gestion des entreprises, Universite Nancy 2.
  15. 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, 09.
  16. Gorg, Holger & Strobl, Eric, 2001. "Multinational Companies and Productivity Spillovers: A Meta-analysis," Economic Journal, Royal Economic Society, vol. 111(475), pages F723-39, November.
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