EconPapers    
Economics at your fingertips  
 

Le calcul de la valeur statistique d'une vie humaine

Estimation of statistical value of life

Georges Dionne and Martin Lebeau

MPRA Paper from University Library of Munich, Germany

Abstract: Our society faces many risks that affect human life. Cost-benefit analysis is a very popular project-evaluation tool for reducing these social risks. The government has to set projects or regulations whose benefits will outweigh costs. It is quite easy to evaluate costs but how to evaluate the benefits linked to protecting human life? Since the 1970s, many values of life have been estimated with different methods. The wide variability of the results range from 0,5 million up to 50 million ($US, 2000). The main goal of this study is to analyze the source of this variability in results. We also want to determine a reasonable value for public decision making.

Keywords: Statistical value of life; meta-analysis; mixed effects regression model; hedonic wage method; risk, income effect; risk aversion; valeur statistique d’une vie humaine, méta-analyse, régression à effets mixtes, méthode hédonique d’estimation des salaires, risque, effet revenu, aversion au risque (search for similar items in EconPapers)
JEL-codes: D13 J38 H43 J58 D80 (search for similar items in EconPapers)
Date: 2010-11-09
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Published in L'Actualité économique 4.86(2010): pp. 487-530

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/37573/2/MPRA_paper_37573.pdf original version (application/pdf)

Related works:
Journal Article: Le calcul de la valeur statistique d’une vie humaine (2010) Downloads
Working Paper: Le calcul de la valeur statistique d'une vie humaine (2010) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:37573

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2019-11-08
Handle: RePEc:pra:mprapa:37573