Meta-Regression Approximations to Reduce Publication Selection Bias
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.
|Date of creation:||25 May 2011|
|Contact details of provider:|| Postal: 221 Burwood Highway, Burwood 3125|
Phone: 61 3 9244 3815
Fax: +61 3 5227 2655
Web page: http://www.deakin.edu.au/buslaw/aef/index.php
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Lars P. Feld & Jost H. Heckemeyer, 2011.
"Fdi And Taxation: A Meta‐Study,"
Journal of Economic Surveys,
Wiley Blackwell, vol. 25(2), pages 233-272, 04.
- 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.
- Lars P. Feld & Jost Henrich Heckemeyer, 2009. "FDI and Taxation: A Meta-Study," CESifo Working Paper Series 2540, CESifo Group Munich.
- 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.
- Stanley, T D & Jarrell, Stephen B, 1989. " Meta-Regression Analysis: A Quantitative Method of Literature Survey s," Journal of Economic Surveys, Wiley Blackwell, vol. 3(2), pages 161-170.
- Senn, Stephen, 2008. "A Note Concerning a Selection Paradox of Dawid's," The American Statistician, American Statistical Association, vol. 62, pages 206-210, August.
- 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.
- 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.
- Viscusi, W Kip, 1993. "The Value of Risks to Life and Health," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1912-1946, December.
- 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.
- François Bellavance & Georges Dionne & Martin Lebeau, 2006. "The Value of a Statistical Life: a Meta-Analysis with a Mixed Effects Regression Model," Cahiers de recherche 0646, CIRPEE.
- Bowland, Bradley J. & Beghin, John C., 2001. "Robust estimates of value of a statistical life for developing economies," Journal of Policy Modeling, Elsevier, vol. 23(4), pages 385-396, May.
- Bowland, Brad J. & Beghin, John C., 2001. "Robust Estimates of Value of a Statistical Life for Developing Economies," Staff General Research Papers Archive 5196, Iowa State University, Department of Economics.
- Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-161, January.
- De Long, J Bradford & Lang, Kevin, 1992. "Are All Economic Hypotheses False?," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1257-1272, December.
- J. Bradford De Long & Kevin Lang, "undated". "Are All Economic Hypotheses False?," J. Bradford De Long's Working Papers _117, University of California at Berkeley, Economics Department.
- 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.
- J. Copas, 1999. "What works?: selectivity models and meta-analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(1), pages 95-109.
- 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.
- Havranek, Tomas, 2009. "Rose Effect and the Euro: Is the Magic Gone?," MPRA Paper 18479, University Library of Munich, Germany, revised 07 Nov 2009.
- 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.
- T.D. Stanley, 2006. "Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection," Economics Series 2006_20, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
- 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.
- Hristos Doucouliagos & T.D. Stanley, 2008. "Publication Selection Bias in Minimum-Wage Research? A Meta-Regression Analysis," Economics Series 2008_14, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
- 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.
- 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.
- 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.
- 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.
- T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, 07.
- 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.
- Wojciech W. Charemza & Derek F. Deadman, 1997. "New Directions In Econometric Practice, Second Edition," Books, Edward Elgar Publishing, number 1139. Full references (including those not matched with items on IDEAS)
When requesting a correction, please mention this item's handle: RePEc:dkn:econwp:eco_2011_4. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dr Xueli Tang)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.