IDEAS home Printed from https://ideas.repec.org/p/dkn/econwp/eco_2011_4.html
   My bibliography  Save this paper

Meta-regression approximations to reduce publication selection bias

Author

Listed:
  • Stanley, T. D.
  • Doucouliagos, Hristos

Abstract

No abstract is available for this item.

Suggested Citation

  • Stanley, T. D. & Doucouliagos, Hristos, 2011. "Meta-regression approximations to reduce publication selection bias," Working Papers eco_2011_4, Deakin University, Department of Economics.
    • Handle: RePEc:dkn:econwp:eco_2011_4
    DOI: 10.1002/jrsm.1095
    as

    Download full text from publisher

    File URL: http://www.dx.doi.org/10.1002/jrsm.1095
    Download Restriction: no
    File URL: https://libkey.io/10.1002/jrsm.1095?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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, June.
    5. 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.
    6. 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.
    7. Colin B. Begg & Jesse A. Berlin, 1988. "Publication Bias: A Problem in Interpreting Medical Data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 151(3), pages 419-445, May.
    8. 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.
    9. T.D Stanley & Hristos Doucouliagos, 2007. "Identifying and Correcting Publication Selection Bias in the Efficiency-Wage Literature: Heckman Meta-Regression," Working Papers 2007_11, Deakin University, Department of Economics.
    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, February.
    11. 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, April.
    12. 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.
    13. 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.
    14. 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.
    15. T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, July.
    16. 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.
    17. Senn, Stephen, 2008. "A Note Concerning a Selection Paradox of Dawid's," The American Statistician, American Statistical Association, vol. 62, pages 206-210, August.
    18. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2012. "Demand for gasoline is more price-inelastic than commonly thought," Energy Economics, Elsevier, vol. 34(1), pages 201-207.
    2. Iamsiraroj, Sasi & Doucouliagos, Hristos, 2015. "Does growth attract FDI?," Economics Discussion Papers 2015-18, Kiel Institute for the World Economy (IfW Kiel).
    3. Dimos, Christos & Pugh, Geoff, 2016. "The effectiveness of R&D subsidies: A meta-regression analysis of the evaluation literature," Research Policy, Elsevier, vol. 45(4), pages 797-815.
    4. Lucía Arango-Lozano & Lukas Menkhoff & Daniela Rodríguez-Novoa & Mauricio Villamizar-Villegas, 2020. "The Effectiveness of FX Interventions: A Meta-Analysis," Discussion Papers of DIW Berlin 1895, DIW Berlin, German Institute for Economic Research.
    5. Stephan B. Bruns, Christian Gross and David I. Stern, 2014. "Is There Really Granger Causality Between Energy Use and Output?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    6. Luis Miguel Galindo & Jimy Ferrer Carbonell & José Eduardo Alatorre & Orlando Reyes, 2015. "Metaanálisis de las elasticidades ingreso y precio de la demanda de energía: algunas implicaciones de politica pública para América Latina," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 38(75), pages 9-40.
    7. Carmela A White & Bob Uttl & Mark D Holder, 2019. "Meta-analyses of positive psychology interventions: The effects are much smaller than previously reported," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-48, May.
    8. Megan Linde Leonard & T. D. Stanley & Hristos Doucouliagos, 2014. "Does the UK Minimum Wage Reduce Employment? A Meta-Regression Analysis," British Journal of Industrial Relations, London School of Economics, vol. 52(3), pages 499-520, September.
    9. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Doucouliagos, Chris & Stanley, T.D. & Giles, Margaret, 2012. "Are estimates of the value of a statistical life exaggerated?," Journal of Health Economics, Elsevier, vol. 31(1), pages 197-206.
    2. Costa-Font, Joan & McGuire, Alistair & Stanley, Tom, 2013. "Publication selection in health policy research: The winner's curse hypothesis," Health Policy, Elsevier, vol. 109(1), pages 78-87.
    3. 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.
    4. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2012. "Demand for gasoline is more price-inelastic than commonly thought," Energy Economics, Elsevier, vol. 34(1), pages 201-207.
    5. Tomas Havranek & Zuzana Irsova, 2012. "Survey Article: Publication Bias in the Literature on Foreign Direct Investment Spillovers," Journal of Development Studies, Taylor & Francis Journals, vol. 48(10), pages 1375-1396, October.
    6. Tomas Kucera, 2020. "Are Employment Effects of Minimum Wage the Same Across the EU? A Meta-Regression Analysis," Working Papers IES 2020/2, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2020.
    7. 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.
    8. 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.
    9. 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.
    10. Megan Linde Leonard & T. D. Stanley & Hristos Doucouliagos, 2014. "Does the UK Minimum Wage Reduce Employment? A Meta-Regression Analysis," British Journal of Industrial Relations, London School of Economics, vol. 52(3), pages 499-520, September.
    11. Havranek, Tomas & Irsova, Zuzana, 2011. "Estimating vertical spillovers from FDI: Why results vary and what the true effect is," Journal of International Economics, Elsevier, vol. 85(2), pages 234-244.
    12. Polák, Petr, 2017. "The productivity paradox: A meta-analysis," Information Economics and Policy, Elsevier, vol. 38(C), pages 38-54.
    13. Markus Hang & Jerome Geyer‐Klingeberg & Andreas Rathgeber & Stefan Stöckl, 2018. "Economic Development Matters: A Meta‐Regression Analysis on the Relation between Environmental Management and Financial Performance," Journal of Industrial Ecology, Yale University, vol. 22(4), pages 720-744, August.
    14. Havranek, Tomas & Kokes, Ondrej, 2015. "Income elasticity of gasoline demand: A meta-analysis," Energy Economics, Elsevier, vol. 47(C), pages 77-86.
    15. Petra Valickova & Tomas Havranek & Roman Horvath, 2015. "Financial Development And Economic Growth: A Meta-Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 506-526, July.
    16. 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.
    17. Stanley, T. D. & Doucouliagos, Chris, 2019. "Practical Significance, Meta-Analysis and the Credibility of Economics," IZA Discussion Papers 12458, Institute of Labor Economics (IZA).
    18. Stefan Hirsch, 2018. "Successful In The Long Run: A Meta†Regression Analysis Of Persistent Firm Profits," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 23-49, February.
    19. Francesco Aiello & Graziella Bonanno, 2018. "On The Sources Of Heterogeneity In Banking Efficiency Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 32(1), pages 194-225, February.
    20. Geyer-Klingeberg, Jerome & Hang, Markus & Rathgeber, Andreas W., 2019. "What drives financial hedging? A meta-regression analysis of corporate hedging determinants," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 203-221.

    More about this item

    Keywords

    meta-regression; publication selection bias; systematic reviews; truncation;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. 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.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Xueli Tang (email available below). General contact details of provider: https://edirc.repec.org/data/sedeaau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.