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Meta-regression analysis: Producing credible estimates from diverse evidence

Author

Listed:
  • Chris Doucouliagos

    (Deakin University, Australia)

Abstract

Good policy requires reliable scientific knowledge, but there are many obstacles. Most econometric estimates lack adequate statistical power; some estimates cannot be replicated; publication selection bias (the selective reporting of results) is common; and there is wide variation in the evidence base on most policy issues. Meta-regression analysis offers a way to increase statistical power, correct the evidence base for a range of biases, and make sense of the unceasing flow of contradictory econometric estimates. It enables policymakers to develop evidence-based policies even when the initial evidence base lacks credibility.

Suggested Citation

  • Chris Doucouliagos, 2016. "Meta-regression analysis: Producing credible estimates from diverse evidence," IZA World of Labor, Institute of Labor Economics (IZA), pages 320-320, November.
  • Handle: RePEc:iza:izawol:journl:y:2016:n:320
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    References listed on IDEAS

    as
    1. David Card & Jochen Kluve & Andrea Weber, 2010. "Active Labour Market Policy Evaluations: A Meta-Analysis," Economic Journal, Royal Economic Society, vol. 120(548), pages 452-477, November.
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    3. 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.
    4. Shanthi Nataraj & Francisco Perez-Arce & Krishna B. Kumar & Sinduja V. Srinivasan, 2014. "The Impact Of Labor Market Regulation On Employment In Low-Income Countries: A Meta-Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(3), pages 551-572, July.
    5. Dale Belman & Paul J. Wolfson, 2014. "What Does the Minimum Wage Do?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number wdmwd, July.
    6. S. Longhi & P. Nijkamp & J. Poot, 2010. "Joint impacts of immigration on wages and employment: review and meta-analysis," Journal of Geographical Systems, Springer, vol. 12(4), pages 355-387, December.
    7. 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.
    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. 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. 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.
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    Citations

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    Cited by:

    1. repec:pal:compes:v:61:y:2019:i:3:d:10.1057_s41294-019-00093-0 is not listed on IDEAS
    2. Jarko Fidrmuc & Ronja Lind, 2017. "Macroeconomic Impact of Basel III: Evidence from a Meta-Analysis," Working and Discussion Papers WP 5/2017, Research Department, National Bank of Slovakia.
    3. repec:eee:finana:v:61:y:2019:i:c:p:274-283 is not listed on IDEAS
    4. Campos, Nauro F. & Jarko, Fidrmuc & Iikka, Korhonen, 2017. "Business cycle synchronisation in a currency union : Taking stock of the evidence," Research Discussion Papers 28/2017, Bank of Finland.

    More about this item

    Keywords

    bias; credibility; research synthesis; meta-regression;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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