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
    DOI: 10.1002/jrsm.1211
    as

    Download full text from publisher

    File URL: http://www.dx.doi.org/10.1002/jrsm.1211
    Download Restriction: no
    File URL: https://libkey.io/10.1002/jrsm.1211?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 & 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.
    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. 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. 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.
    5. 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.
    6. Gerber, Alan S. & Green, Donald P. & Nickerson, David, 2001. "Testing for Publication Bias in Political Science," Political Analysis, Cambridge University Press, vol. 9(4), pages 385-392, January.
    7. 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, July.
    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. 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.
    11. Hristos Doucouliagos, 2011. "How Large is Large? Preliminary and relative guidelines for interpreting partial correlations in economics," Working Papers 2011_5, Deakin University, Department of Economics.
    12. 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.
    13. Ian R. White, 2011. "Multivariate random-effects meta-regression: Updates to mvmeta," Stata Journal, StataCorp LP, vol. 11(2), pages 255-270, June.
    14. 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.
    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. Edward Anderson & Maria Ana Jalles D'Orey & Maren Duvendack & Lucio Esposito, 2017. "Does Government Spending Affect Income Inequality? A Meta-Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 31(4), pages 961-987, September.
    2. Nazila Alinaghi & W. Robert Reed, 2016. "Meta-Analysis and Publication Bias: How Well Does the FAT-PET-PEESE Procedure Work?," Working Papers in Economics 16/26, University of Canterbury, Department of Economics and Finance.
    3. Obsa Urgessa Ayana & Jima Degaga, 2022. "Effects of rural electrification on household welfare: a meta-regression analysis," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(2), pages 209-261, June.
    4. Joan Costa-Font & Filipe De-Albuquerque & Hristos Doucouliagos, 2014. "Do jurisdictions compete on taxes? A meta-regression analysis," Public Choice, Springer, vol. 161(3), pages 451-470, December.
    5. Nazila Alinaghi & W. Robert Reed, 2021. "Taxes and Economic Growth in OECD Countries: A Meta-analysis," Public Finance Review, , vol. 49(1), pages 3-40, January.
    6. 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.
    7. 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.
    8. Bel, Germà & Gradus, Raymond, 2016. "Effects of unit-based pricing on household waste collection demand: A meta-regression analysis," Resource and Energy Economics, Elsevier, vol. 44(C), pages 169-182.
    9. Simona Bigerna & Paolo Polinori, 2015. "Assessing the Determinants of Renewable Electricity Acceptance Integrating Meta-Analysis Regression and a Local Comprehensive Survey," Sustainability, MDPI, vol. 7(9), pages 1-24, August.
    10. Reed, W. Robert, 2015. "A Monte Carlo analysis of alternative meta-analysis estimators in the presence of publication bias," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-40.
    11. Fernau, Erik & Hirsch, Stefan, 2019. "What drives dividend smoothing? A meta regression analysis of the Lintner model," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 255-273.

    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. Ugur, Mehmet & Trushin, Eshref & Solomon, Edna & Guidi, Francesco, 2016. "R&D and productivity in OECD firms and industries: A hierarchical meta-regression analysis," Research Policy, Elsevier, vol. 45(10), pages 2069-2086.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Stanley, T. D. & Doucouliagos, Hristos, 2011. "Meta-regression approximations to reduce publication selection bias," Working Papers eco_2011_4, Deakin University, Department of Economics.
    7. 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.
    8. Diana Zigraiova & Tomas Havranek, 2016. "Bank Competition And Financial Stability: Much Ado About Nothing?," Journal of Economic Surveys, Wiley Blackwell, vol. 30(5), pages 944-981, December.
    9. Stephan B. Bruns, 2013. "Identifying Genuine Effects in Observational Research by Means of Meta-Regressions," Jena Economics Research Papers 2013-040, Friedrich-Schiller-University Jena.
    10. Reed, W. Robert, 2015. "A Monte Carlo analysis of alternative meta-analysis estimators in the presence of publication bias," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-40.
    11. Havranek, Tomas & Kokes, Ondrej, 2015. "Income elasticity of gasoline demand: A meta-analysis," Energy Economics, Elsevier, vol. 47(C), pages 77-86.
    12. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    13. 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.
    14. 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.
    15. Ugur, Mehmet & Guidi, Francesco & Solomon, Edna & Trushin, Eshref, 2014. "R&D investment, productivity and rates of return: A meta-analysis of the evidence on OECD firms and industries," MPRA Paper 59686, University Library of Munich, Germany, revised 22 Oct 2014.
    16. Mehmet Ugur, 2014. "Corruption'S Direct Effects On Per-Capita Income Growth: A Meta-Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(3), pages 472-490, July.
    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. Dimos, Christos & Pugh, Geoff & Hisarciklilar, Mehtap & Talam, Ema & Jackson, Ian, 2022. "The relative effectiveness of R&D tax credits and R&D subsidies: A comparative meta-regression analysis," Technovation, Elsevier, vol. 115(C).
    19. Demena, B.A., 2021. "Effectiveness of export promotion programmes," ISS Working Papers - General Series 688, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    20. Nelson, Jon Paul, 2020. "Fixed-effect versus random-effects meta-analysis in economics: A study of pass-through rates for alcohol beverage excise taxes," Economics Discussion Papers 2020-1, Kiel Institute for the World Economy (IfW Kiel).

    More about this item

    Keywords

    meta-regression; weighted least squares; random-effects; fixed-effects;
    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_2013_2. 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.