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Accounting for dependence among study results in Meta-Analysis: methodology and applications to the valuation and use of natural resources

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  • Florax, R.J.G.M.

    (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics)

Abstract

Meta-analysis refers to the statistical analysis of empirical estimates obtained in previous studies, and is increasingly used in environmental and natural resource economics as a complement to a state-of-the-art literature review. The occurrence of dependence or auto-correlation among study results, for multiple estimates from the same study or for estimates from different studies, is a compelling problem that is usually ignored. This paper suggests that autocorrelation tests and estimators developed for other types of data constitute an appropriate solution to measuring and remedying dependence in meta-analysis. Moreover, visualization by means of a scatterplot provides a useful tool for the interpretation of dependence, and helps to detect outliers. The paper provides illustrations of the techniques through meta-analyses on the valuation of wetlands and the price elasticity of residential water demand. The applications show that between-study dependence is usually sufficiently modeled by means of variability in study characteristics. Ignoring within-study dependence, however, can result in biased estimators and makes inferences from meta-analyses imprecise in size and significante.

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Bibliographic Info

Paper provided by VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number 0005.

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Date of creation: 2002
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Handle: RePEc:dgr:vuarem:2002-5

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Web page: http://www.feweb.vu.nl

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Keywords: meta-analysis; autocorrelation; dependence; heterogeneity;

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  1. Tim Jeppesen & John A. List & Henk Folmer, 2002. "Environmental Regulations and New Plant Location Decisions: Evidence from a Meta-Analysis," Journal of Regional Science, Wiley Blackwell, vol. 42(1), pages 19-49.
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Cited by:
  1. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2004. "A Meta-Analytic Assessment of the Effect of Immigration on Wages," Population Studies Centre Discussion Papers dp-47, University of Waikato, Population Studies Centre.
  2. Alexandros Dimitropoulos & Piet Rietveld & Jos N. van Ommeren, 2011. "Consumer Valuation of Driving Range: A Meta-Analysis," Tinbergen Institute Discussion Papers 11-133/3, Tinbergen Institute.
  3. Chiara M. Travisi & Peter Nijkamp & Raymond J. G. M. Florax, 2004. "A Meta-Analysis of the Willingness to Pay for Reductions in Pesticide Risk Exposure," Working Papers 2004.101, Fondazione Eni Enrico Mattei.
  4. Kees Folmer, 2009. "Why do macro wage elasticities diverge?," CPB Memorandum 224, CPB Netherlands Bureau for Economic Policy Analysis.
  5. 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.
  6. Kees Folmer, 2009. "Why do macro wage elasticities diverge? A meta analysis," CPB Discussion Paper 122, CPB Netherlands Bureau for Economic Policy Analysis.

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