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Correcting for Primary Study Misspecifications in Meta-Analysis

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Author Info
Mark J. Koetse () (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)
Raymond J.G.M. Florax () (Vrije Universiteit, and Purdue University)
Henri L.F. de Groot () (Faculty of Economics and Business Administration, Vrije Universiteit Amsterdam)

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Abstract

Misspecifications and differences in operational definitions of elasticities in primary studies carry over to meta-analysis results. We show that the current practice of accounting for such primary study aber-rations in a meta-analysis by means of dummy variables goes a long way in mitigating their negative effects on the bias and mean squared error of the estimator, and the size and the power of the statistical tests on the meta-estimate. Controlling for omitted variable bias has a bigger beneficial impact on the meta-analysis results than the concomitant procedure for point versus double-log elasticities. How-ever, the impact of mixing different types of elasticities on the results of a meta-analysis is smaller in any case.

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Publisher Info
Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 05-029/3.

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Date of creation: 16 Mar 2005
Date of revision: 17 Jun 2009
Handle: RePEc:dgr:uvatin:20050029

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Web page: http://www.tinbergen.nl/

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Related research
Keywords: Meta-analysis; Monte Carlo simulation; Omitted variable bias; Elasticities; Model Misspecification;

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Find related papers by JEL classification:
C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Florax, R.J.G.M., 2002. "Accounting for dependence among study results in Meta-Analysis: methodology and applications to the valuation and use of natural resources," Serie Research Memoranda 0005, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics. [Downloadable!]
  2. T. D. Stanley, 2001. "Wheat from Chaff: Meta-analysis as Quantitative Literature Review," Journal of Economic Perspectives, American Economic Association, vol. 15(3), pages 131-150, Summer. [Downloadable!] (restricted)
  3. Weichselbaumer, Doris & Winter-Ebmer, Rudolf, 2003. "A Meta-Analysis of the International Gender Wage Gap," CEPR Discussion Papers 4127, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  4. V. Smith & Subhrendu Pattanayak, 2002. "Is Meta-Analysis a Noah's Ark for Non-Market Valuation?," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 22(1), pages 271-296, June. [Downloadable!] (restricted)
  5. Jasper M. Dalhuisen & Raymond J. G. M. Florax & JHenri L. F. de Groot & Peter Nijkamp, 2003. "Price and Income Elasticities of Residential Water Demand: A Meta-Analysis," Land Economics, University of Wisconsin Press, vol. 79(2), pages 292-308. [Downloadable!] (restricted)
  6. Gorg, Holger & Strobl, Eric, 2001. "Multinational Companies and Productivity Spillovers: A Meta-analysis," Economic Journal, Royal Economic Society, vol. 111(475), pages F723-39, November. [Downloadable!] (restricted)
  7. Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-43, May. [Downloadable!] (restricted)
  8. Goldfarb, Robert S, 1995. "The Economist-as-Audience Needs a Methodology of Plausible Inference," Journal of Economic Methodology, Taylor and Francis Journals, vol. 2(2), pages 201-22, December.
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. G. Cornelis van Kooten & Susanna Laaksonen-Craig & Yichuan Wang, 2007. "Costs of Creating Carbon Offset Credits via Forestry Activities: A Meta-Regression Analysis," Working Papers 2007-03, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group. [Downloadable!]
  2. Mark J. Koetse & Raymond J.G.M. Florax & Henri L.F. de Groot, 2007. "The Impact of Effect Size Heterogeneity on Meta-Analysis: A Monte Carlo Experiment," Tinbergen Institute Discussion Papers 07-052/3, Tinbergen Institute. [Downloadable!]
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This page was last updated on 2009-11-19.

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