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

Author

Listed:
  • Mark Koetse

    ()

  • Raymond Florax

    ()

  • Henri Groot

    ()

Abstract

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Suggested Citation

  • 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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    File URL: http://hdl.handle.net/10.1007/s10260-009-0125-0
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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, Southern Economic Association, vol. 76(1), pages 283-306, July.
    7. 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.
    8. 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.
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    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. Jacques Poot, 2014. "Meta-analysis of previous empirical research findings," Chapters,in: Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 13, pages 236-262 Edward Elgar Publishing.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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, Kiel Institute for the World Economy (IfW), vol. 9, pages 1-40.
    8. 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.
    9. 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: Improving Energy Efficiency through Technology, chapter 7 Edward Elgar Publishing.
    10. 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.
    11. repec:eee:joacli:v:32:y:2013:i:1:p:88-113 is not listed on IDEAS
    12. 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).
    13. repec:bla:obuest:v:79:y:2017:i:5:p:637-653 is not listed on IDEAS

    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;

    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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