IDEAS home Printed from https://ideas.repec.org/p/dkn/econwp/eco_2013_2.html
   My bibliography  Save this paper

Better than random: weighted least squares meta-regression analysis

Author

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

Abstract

No abstract is available for this item.

Suggested Citation

  • Stanley, T. D. & Doucouliagos, Hristos, 2013. "Better than random: weighted least squares meta-regression analysis," Working Papers eco_2013_2, Deakin University, Department of Economics.
  • Handle: RePEc:dkn:econwp:eco_2013_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. Gerber, Alan S. & Green, Donald P. & Nickerson, David, 2001. "Testing for Publication Bias in Political Science," Political Analysis, Cambridge University Press, vol. 9(04), pages 385-392, January.
    5. Hristos Doucouliagos & Janto Haman & T.D. Stanley, 2012. "Pay for Performance and Corporate Governance Reform," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 51(3), pages 670-703, July.
    6. John Copas & Claudia Lozada-Can, 2009. "The radial plot in meta-analysis: approximations and applications," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(3), pages 329-344.
    7. Doucouliagos, Hristos & Stanley, T. D., 2008. "Publication selection bias inminimum-wage research? A meta-regression analysis," Economics Series eco_2008_14, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
    8. Alan S. Gerber & Neil Malhotra, 2008. "Publication Bias in Empirical Sociological Research," Sociological Methods & Research, , vol. 37(1), pages 3-30, August.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    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. repec:spr:jknowl:v:8:y:2017:i:3:d:10.1007_s13132-015-0309-9 is not listed on IDEAS
    2. Jarle Møen & Helge Sandvig Thorsen, 2017. "Publication Bias in the Returns to R&D Literature," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(3), pages 987-1013, September.

    More about this item

    Keywords

    meta-regression; weighted least squares; random-effects; fixed-effects;

    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_2013_2. 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: (Xueli Tang). General contact details of provider: http://edirc.repec.org/data/sedeaau.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.