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What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity
Sapna Kaul
, Kevin J. Boyle
, Nicolai V. Kuminoff
, Christopher F. Parmeter
, Jaren C. Pope
Research output
:
Contribution to journal
›
Article
›
peer-review
86
Scopus citations
Overview
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Dive into the research topics of 'What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity'. Together they form a unique fingerprint.
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Keyphrases
Convergent Validity
100%
Benefit Transfer
100%
Transfer Error
100%
Value Transfer
33%
Meta-analysis
16%
Data Combination
16%
Meta-regression
16%
Transfer Function
16%
Valuation Methods
16%
Non-parametric Approach
16%
Methodological Procedures
16%
Quality Changes
16%
Site Similarity
16%
Median Absolute Error
16%
Modeling Decisions
16%
Contingent Valuation
16%
Social Sciences
Meta-Analysis
100%
Decision Model
100%
Contingent Valuation
100%
Economics, Econometrics and Finance
Meta-Regression
100%
Contingent Valuation
100%
Nonparametric
100%
Medicine and Dentistry
Meta-Analysis
100%
Meta-Regression
100%
Psychology
Convergent Validity
100%
Meta-Analysis
50%