Due Diligence in Meta-analyses to Support Benefit Transfers

Kevin J. Boyle, Christopher Parmeter, Brent B. Boehlert, Robert W. Paterson

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Meta-analyses are becoming a popular tool for supporting benefit transfers, but the availability of studies is a direct consequence of policy issues, research funding, and investigator interest. We investigate fragility versus robustness of the meta-equation by considering sample selection, removing one observation or study at a time with replacement, and removing/adding regressors. Several key variables are found to be robust, strengthening the argument for their use in policy prescriptions. The key insights are that these methods can be used to parse meta-data to identify the most appropriate set(s) of observations and regressors to support literature evaluations, benefit transfers and other practical applications using statical summaries of empirical data.

Original languageEnglish (US)
Pages (from-to)357-386
Number of pages30
JournalEnvironmental and Resource Economics
Volume55
Issue number3
DOIs
StatePublished - Jan 1 2013

Fingerprint

metadata
replacement
policy
Benefit transfer
Due diligence
literature evaluation
method
prescription
Empirical data
Replacement
Robustness
Fragility
Evaluation
Metadata
Prescription
Research funding
Sample selection

Keywords

  • Horizontal robustness
  • Leave-one-out
  • Meta-equation
  • Regression diagnostics
  • Sample selection
  • Vertical robustness

ASJC Scopus subject areas

  • Economics and Econometrics
  • Management, Monitoring, Policy and Law

Cite this

Due Diligence in Meta-analyses to Support Benefit Transfers. / Boyle, Kevin J.; Parmeter, Christopher; Boehlert, Brent B.; Paterson, Robert W.

In: Environmental and Resource Economics, Vol. 55, No. 3, 01.01.2013, p. 357-386.

Research output: Contribution to journalArticle

Boyle, Kevin J. ; Parmeter, Christopher ; Boehlert, Brent B. ; Paterson, Robert W. / Due Diligence in Meta-analyses to Support Benefit Transfers. In: Environmental and Resource Economics. 2013 ; Vol. 55, No. 3. pp. 357-386.
@article{36a88811b00e45dfb3c004645ef18b34,
title = "Due Diligence in Meta-analyses to Support Benefit Transfers",
abstract = "Meta-analyses are becoming a popular tool for supporting benefit transfers, but the availability of studies is a direct consequence of policy issues, research funding, and investigator interest. We investigate fragility versus robustness of the meta-equation by considering sample selection, removing one observation or study at a time with replacement, and removing/adding regressors. Several key variables are found to be robust, strengthening the argument for their use in policy prescriptions. The key insights are that these methods can be used to parse meta-data to identify the most appropriate set(s) of observations and regressors to support literature evaluations, benefit transfers and other practical applications using statical summaries of empirical data.",
keywords = "Horizontal robustness, Leave-one-out, Meta-equation, Regression diagnostics, Sample selection, Vertical robustness",
author = "Boyle, {Kevin J.} and Christopher Parmeter and Boehlert, {Brent B.} and Paterson, {Robert W.}",
year = "2013",
month = "1",
day = "1",
doi = "10.1007/s10640-012-9630-y",
language = "English (US)",
volume = "55",
pages = "357--386",
journal = "Environmental and Resource Economics",
issn = "0924-6460",
publisher = "Springer Netherlands",
number = "3",

}

TY - JOUR

T1 - Due Diligence in Meta-analyses to Support Benefit Transfers

AU - Boyle, Kevin J.

AU - Parmeter, Christopher

AU - Boehlert, Brent B.

AU - Paterson, Robert W.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Meta-analyses are becoming a popular tool for supporting benefit transfers, but the availability of studies is a direct consequence of policy issues, research funding, and investigator interest. We investigate fragility versus robustness of the meta-equation by considering sample selection, removing one observation or study at a time with replacement, and removing/adding regressors. Several key variables are found to be robust, strengthening the argument for their use in policy prescriptions. The key insights are that these methods can be used to parse meta-data to identify the most appropriate set(s) of observations and regressors to support literature evaluations, benefit transfers and other practical applications using statical summaries of empirical data.

AB - Meta-analyses are becoming a popular tool for supporting benefit transfers, but the availability of studies is a direct consequence of policy issues, research funding, and investigator interest. We investigate fragility versus robustness of the meta-equation by considering sample selection, removing one observation or study at a time with replacement, and removing/adding regressors. Several key variables are found to be robust, strengthening the argument for their use in policy prescriptions. The key insights are that these methods can be used to parse meta-data to identify the most appropriate set(s) of observations and regressors to support literature evaluations, benefit transfers and other practical applications using statical summaries of empirical data.

KW - Horizontal robustness

KW - Leave-one-out

KW - Meta-equation

KW - Regression diagnostics

KW - Sample selection

KW - Vertical robustness

UR - http://www.scopus.com/inward/record.url?scp=84878753225&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84878753225&partnerID=8YFLogxK

U2 - 10.1007/s10640-012-9630-y

DO - 10.1007/s10640-012-9630-y

M3 - Article

VL - 55

SP - 357

EP - 386

JO - Environmental and Resource Economics

JF - Environmental and Resource Economics

SN - 0924-6460

IS - 3

ER -