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Contrasting Conventional with Multi-Level Modeling Approaches to Meta-Analysis: Expectation Consistency in U.K. Woodland Recreation Values

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  • Ian J. Bateman
  • Andrew P. Jones

Abstract

The paper presents a variety ofmeta analysis models of woodland recreation benefit estimates, contrasting conventionally estimatedmodelswith those provided by novel, multi-level modeling (MLM) techniques (Goldstein 1995). Our conventional models suggest that studies carried out by certain authors are associated with unusually large residuals within ourmeta-analysis.However, the MLM approach explicitly incorporates the hierarchical nature ofmeta-analysis data, with estimates nested within study sites and authors. These residuals are not a significant determinant upon values, suggesting that, at least in this aspect, estimates may be more robust than indicated by less sophisticated models.

Suggested Citation

  • Ian J. Bateman & Andrew P. Jones, 2003. "Contrasting Conventional with Multi-Level Modeling Approaches to Meta-Analysis: Expectation Consistency in U.K. Woodland Recreation Values," Land Economics, University of Wisconsin Press, vol. 79(2), pages 235-258.
  • Handle: RePEc:uwp:landec:v:79:y:2003:i:2:p:235-258
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    JEL classification:

    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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