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Consequences of effect size heterogeneity for meta-analysis: a Monte Carlo study

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  • Mark Koetse
  • Raymond Florax
  • Henri Groot

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  • Mark Koetse & Raymond Florax & Henri Groot, 2010. "Consequences of effect size heterogeneity for meta-analysis: a Monte Carlo study," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(2), pages 217-236, June.
    • Handle: RePEc:spr:stmapp:v:19:y:2010:i:2:p:217-236
    DOI: 10.1007/s10260-009-0125-0
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    References listed on IDEAS

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    1. Peter Nijkamp & Jacques Poot, 2005. "The Last Word on the Wage Curve?," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 421-450, July.
    2. Brons, Martijn & Nijkamp, Peter & Pels, Eric & Rietveld, Piet, 2008. "A meta-analysis of the price elasticity of gasoline demand. A SUR approach," Energy Economics, Elsevier, vol. 30(5), pages 2105-2122, September.
    3. Doris Weichselbaumer & Rudolf Winter‐Ebmer, 2005. "A Meta‐Analysis of the International Gender Wage Gap," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 479-511, July.
    4. Mark J. Koetse & Henri L.F. de Groot & Raymond J.G.M. Florax, 2009. "A Meta-Analysis of the Investment-Uncertainty Relationship," Southern Economic Journal, John Wiley & Sons, vol. 76(1), pages 283-306, July.
    5. Nijkamp, Peter & Poot, Jacques, 2004. "Meta-analysis of the effect of fiscal policies on long-run growth," European Journal of Political Economy, Elsevier, vol. 20(1), pages 91-124, March.
    6. Maria Abreu & Henri L. F. de Groot & Raymond J. G. M. Florax, 2005. "A Meta‐Analysis of β‐Convergence: the Legendary 2%," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 389-420, July.
    7. Koetse, Mark J. & de Groot, Henri L.F. & Florax, Raymond J.G.M., 2008. "Capital-energy substitution and shifts in factor demand: A meta-analysis," Energy Economics, Elsevier, vol. 30(5), pages 2236-2251, September.
    8. Laura De Dominicis & Raymond J. G. M. Florax & Henri L. F. De Groot, 2008. "A Meta‐Analysis On The Relationship Between Income Inequality And Economic Growth," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(5), pages 654-682, November.
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    Cited by:

    1. 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.
    2. Mark J. Koetse & Henri L.F. de Groot & Raymond J.G.M. Florax, 2011. "A Meta-Regression Analysis of the Investment–Uncertainty Relationship," Chapters, in: Raymond J.G.M. Florax & Henri L.F. de Groot & Peter Mulder (ed.), Improving Energy Efficiency through Technology, chapter 7, Edward Elgar Publishing.
    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. Stephan B. Bruns, 2016. "The Fragility of Meta-Regression Models in Observational Research," MAGKS Papers on Economics 201603, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    5. Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015. "Consumers’ willingness to pay for renewable energy: A meta-regression analysis," Resource and Energy Economics, Elsevier, vol. 42(C), pages 93-109.
    6. Chaikumbung, Mayula & Doucouliagos, Hristos & Scarborough, Helen, 2016. "The economic value of wetlands in developing countries: A meta-regression analysis," Ecological Economics, Elsevier, vol. 124(C), pages 164-174.
    7. 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).
    8. 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.
    9. Mark J. Koetse & Raymond J.G.M. Florax & Henri L.F. de Groot, 2005. "Correcting for Primary Study Misspecifications in Meta-Analysis," Tinbergen Institute Discussion Papers 05-029/3, Tinbergen Institute, revised 31 Jan 2013.
    10. 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.
    11. Stuart, Iris & Shin, Yong-Chul & Cram, Donald P. & Karan, Vijay, 2013. "Review of choice-based, matched, and other stratified sample studies in auditing research," Journal of Accounting Literature, Elsevier, vol. 32(1), pages 88-113.
    12. Bockarjova, Marija & Botzen, Wouter J.W. & Koetse, Mark J., 2020. "Economic valuation of green and blue nature in cities: A meta-analysis," Ecological Economics, Elsevier, vol. 169(C).
    13. Jacques Poot, 2014. "Meta-analysis of previous empirical research findings," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 13, pages 236-262, Edward Elgar Publishing.
    14. Stephan B. Bruns, 2017. "Meta-Regression Models and Observational Research," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 637-653, October.
    15. Yadavalli, Anita P. & Florax, Raymond J.G.M., 2013. "The Effect of School Quality on House Prices: A Meta-Regression Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151291, Agricultural and Applied Economics Association.
    16. Liu, Boying & Richard Shumway, C., 2016. "Substitution elasticities between GHG-polluting and nonpolluting inputs in agricultural production: A meta-regression," Energy Economics, Elsevier, vol. 54(C), pages 123-132.

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    More about this item

    Keywords

    Effect size heterogeneity; Meta-analysis; Monte Carlo analysis; OLS meta-estimator; WLS meta-estimator; Mixed effects meta-estimator; Small sample performance; C12; C15; C40;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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