Approaches for visualizing uncertainty in benefit transfer from metaregression

Luke Fitzpatrick; Christopher F. Parmeter; Juan Agar

doi:10.1016/j.ecolecon.2019.05.024

Approaches for visualizing uncertainty in benefit transfer from metaregression

Luke Fitzpatrick, Christopher F. Parmeter, Juan Agar

Economics

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English (US)
Article number	106344
Journal	Ecological Economics
Volume	164
DOIs	https://doi.org/10.1016/j.ecolecon.2019.05.024
State	Published - Oct 2019

Keywords

Confidence interval
Contingent valuation
Convergent validity
Joy plot
Metaregression model
Nonlinearity
Policy analysis

ASJC Scopus subject areas

Environmental Science(all)
Economics and Econometrics

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10.1016/j.ecolecon.2019.05.024

Cite this

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title = "Approaches for visualizing uncertainty in benefit transfer from metaregression",

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.",

keywords = "Confidence interval, Contingent valuation, Convergent validity, Joy plot, Metaregression model, Nonlinearity, Policy analysis",

author = "Luke Fitzpatrick and Parmeter, {Christopher F.} and Juan Agar",

note = "Funding Information: The support of NOAA's Office of Science and Technology is gratefully acknowledged. The views and opinions expressed or implied in this article are those of the authors and do not necessarily reflect the position of the National Marine Fisheries Service, NOAA. The insights and constructive comments of four referees dramatically improved the paper. We also thank Rob Johnston for valuable comments on an earlier draft. All errors are ours alone. Publisher Copyright: {\textcopyright} 2019 Elsevier B.V. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.",

year = "2019",

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doi = "10.1016/j.ecolecon.2019.05.024",

language = "English (US)",

volume = "164",

journal = "Ecological Economics",

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AU - Fitzpatrick, Luke

AU - Parmeter, Christopher F.

AU - Agar, Juan

N1 - Funding Information: The support of NOAA's Office of Science and Technology is gratefully acknowledged. The views and opinions expressed or implied in this article are those of the authors and do not necessarily reflect the position of the National Marine Fisheries Service, NOAA. The insights and constructive comments of four referees dramatically improved the paper. We also thank Rob Johnston for valuable comments on an earlier draft. All errors are ours alone. Publisher Copyright: © 2019 Elsevier B.V. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.

PY - 2019/10

Y1 - 2019/10

N2 - 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.

AB - 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.

KW - Confidence interval

KW - Contingent valuation

KW - Convergent validity

KW - Joy plot

KW - Metaregression model

KW - Nonlinearity

KW - Policy analysis

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Approaches for visualizing uncertainty in benefit transfer from metaregression

Abstract

Keywords

ASJC Scopus subject areas

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