Abstract
<i>The paper presents a variety of meta analysis models of woodland recreation benefit estimates, contrasting conventionally estimated models with 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 our meta-analysis. However, the MLMapproach explicitly incorporates the hierarchical nature of meta-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.</i> (JELQ26)
Keywords
RecreationWoodlandConsistency (knowledge bases)Meta-analysisVariety (cybernetics)EconometricsStatisticsRandom effects modelComputer scienceMathematicsEcologyArtificial intelligenceBiology
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Publication Info
- Year
- 2003
- Type
- article
- Volume
- 79
- Issue
- 2
- Pages
- 235-258
- Citations
- 160
- Access
- Closed
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Cite This
Ian J. Bateman,
Andy Jones
(2003).
Contrasting Conventional with Multi-Level Modeling Approaches to Meta-Analysis: Expectation Consistency in U.K. Woodland Recreation Values.
Land Economics
, 79
(2)
, 235-258.
https://doi.org/10.2307/3146869
Identifiers
- DOI
- 10.2307/3146869