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Meta-regression analysis: Producing credible estimates from diverse evidence

Author

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  • 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
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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.
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    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:

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    2. Fidrmuc, Jarko & Lind, Ronja, 2020. "Macroeconomic impact of Basel III: Evidence from a meta-analysis," Journal of Banking & Finance, Elsevier, vol. 112(C).
    3. Campos, Nauro F. & Fidrmuc, Jarko & Korhonen, Iikka, 2019. "Business cycle synchronisation and currency unions: A review of the econometric evidence using meta-analysis," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 274-283.
    4. Xiangzi Fang & Samane Ghazali & Hossein Azadi & Rytis Skominas & Jürgen Scheffran, 2024. "Agricultural land conversion and ecosystem services loss: a meta-analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 23215-23243, September.
    5. Yin‐Wong Cheung & Shi He, 2022. "RMB misalignment: What does a meta‐analysis tell us?," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1038-1086, September.
    6. Yin-Wong Cheung & Shi He, 2019. "Truths and Myths About RMB Misalignment: A Meta-analysis," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 61(3), pages 464-492, September.
    7. repec:zbw:bofrdp:2017_028 is not listed on IDEAS
    8. Quang T. T. Nguyen & Son T. B. Nguyen & Quang V. Nguyen, 2019. "Can Higher Capital Discipline Bank Risk: Evidence from a Meta-Analysis," JRFM, MDPI, vol. 12(3), pages 1-21, August.
    9. Campos, Nauro F. & Jarko, Fidrmuc & Iikka, Korhonen, 2017. "Business cycle synchronisation in a currency union: Taking stock of the evidence," Bank of Finland Research Discussion Papers 28/2017, Bank of Finland.
    10. Jarko Fidrmuc & Katarína Danišková, 2020. "Meta-Analysis of the New Keynesian Phillips Curve in Developed and Emerging Economies," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(1), pages 10-31, January.
    11. Thi Mai Lan Nguyen, 2020. "Output Effects of Monetary Policy in Emerging and Developing Countries: Evidence from a Meta-Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(1), pages 68-85, January.

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    More about this item

    Keywords

    bias; credibility; research synthesis; meta-regression;
    All these keywords.

    JEL classification:

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

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