The value of a statistical life: A meta-analysis with a mixed effects regression model

B-Tier
Journal: Journal of Health Economics
Year: 2009
Volume: 28
Issue: 2
Pages: 444-464

Authors (3)

Bellavance, Franois (not in RePEc) Dionne, Georges (HEC Montréal (École des Hautes...) Lebeau, Martin (not in RePEc)

Score contribution per author:

0.673 = (α=2.02 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

The value of a statistical life (VSL) is a very controversial topic, but one which is essential to the optimization of governmental decisions. We see a great variability in the values obtained from different studies. The source of this variability needs to be understood, in order to offer public decision-makers better guidance in choosing a value and to set clearer guidelines for future research on the topic. This article presents a meta-analysis based on 39 observations obtained from 37 studies (from nine different countries) which all use a hedonic wage method to calculate the VSL. Our meta-analysis is innovative in that it is the first to use the mixed effects regression model [Raudenbush, S.W., 1994. Random effects models. In: Cooper, H., Hedges, L.V. (Eds.), The Handbook of Research Synthesis. Russel Sage Foundation, New York] to analyze studies on the value of a statistical life. We conclude that the variability found in the values studied stems in large part from differences in methodologies.

Technical Details

RePEc Handle
repec:eee:jhecon:v:28:y:2009:i:2:p:444-464
Journal Field
Health
Author Count
3
Added to Database
2026-01-25