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Approaches for visualizing uncertainty in benefit transfer from metaregression

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  • Fitzpatrick, Luke
  • Parmeter, Christopher F.
  • Agar, Juan

Abstract

When making decisions, policymakers often rely on benefit transfer estimates of environmental amenities when primary valuation studies are infeasible. However, various forms of uncertainty appear in the application of meta-analysis. We discuss several visual devices which applied analysts can deploy to clearly present select types of uncertainty into their work. Several examples from well-known metadatasets are presented. The empirical results suggest that these graphical devices allow greater depth of insight that what commonly appears in meta-regression analysis.

Suggested Citation

  • Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2019. "Approaches for visualizing uncertainty in benefit transfer from metaregression," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    • Handle: RePEc:eee:ecolec:v:164:y:2019:i:c:13
    DOI: 10.1016/j.ecolecon.2019.05.024
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    References listed on IDEAS

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    1. D'Alberto, Riccardo & Zavalloni, Matteo & Raggi, Meri & Viaggi, Davide, 2021. "A Statistical Matching approach to reproduce the heterogeneity of willingness to pay in benefit transfer," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).

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