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Publication Selection Biases in Stated Preference Estimates of the Value of a Statistical Life

Published online by Cambridge University Press:  17 December 2020

Clayton J. Masterman  and
W. Kip Viscusi
Clayton J. Masterman
Affiliation:
Vanderbilt Law School, 131 21st Ave. South, Nashville, TN37203, USA, e-mail: [email protected]
W. Kip Viscusi*
Affiliation:
University Distinguished Professor of Law, Economics, and Management, Vanderbilt Law School, 131 21st Ave. South, Nashville, TN37203, USA, e-mail: [email protected]
*
*e-mail: [email protected]
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Abstract

This article presents the first meta-analysis documenting the extent of publication selection biases in stated preference estimates of the value of a statistical life (VSL). Stated preference studies fail to overcome the publication biases that affect much of the VSL literature. Such biases account for approximately 90% of the mean value of published VSL estimates in this subset of the literature. The bias is greatest for the largest estimates, possibly because the high-income labor market and stated preference estimates from the USA serve as an anchor for the VSL in other higher income countries. Estimates from lower-income countries exhibit less bias but remain unreliable for benefit-cost analysis. Unlike labor market estimates of the VSL, there is no evidence that any subsample of VSL estimates is free of significant publication selection biases. Although stated preference studies often provide the most readily accessible country-specific VSL estimates, a preferable approach to monetizing mortality risk benefits is to draw on income-adjusted estimates from labor market studies in the USA that use Census of Fatal Occupational Injuries risk data. These estimates lack publication selection effects as well as the limitations that are endemic to stated preference methods.

Keywords

meta-analysispublication selection biasstated preferencevalue of a statistical life.
Type
Article
Information
Journal of Benefit-Cost Analysis , Volume 11 , Issue 3 , Fall 2020 , pp. 357 - 379
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the Society for Benefit-Cost Analysis

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