Policy relevant heterogeneity in the value of statistical life: New evidence from panel data quantile regressions

Thomas J. Kniesner, W. Kip Viscusi, James P. Ziliak

Research output: Contribution to journalArticlepeer-review

81 Scopus citations

Abstract

We examine differences in the value of statistical life (VSL) across potential wage levels in panel data using quantile regressions with intercept heterogeneity. Latent heterogeneity is econometrically important and affects the estimated VSL. Our findings indicate that a reasonable average cost per expected life saved cut-off for health and safety regulations is $7 million to $8 million per life saved, but the VSL varies considerably across the labor force. Our results reconcile the previous discrepancies between hedonic VSL estimates and the values implied by theories linked to the coefficient of relative risk aversion. Because the VSL varies elastically with income, regulatory agencies should regularly update the VSL used in benefit assessments, increasing the VSL proportionally with changes in income over time.

Original languageEnglish
Pages (from-to)15-31
Number of pages17
JournalJournal of Risk and Uncertainty
Volume40
Issue number1
DOIs
StatePublished - Jan 2010

Keywords

  • CFOI
  • Fatality risk
  • Fixed effects
  • PSID
  • Panel data
  • Quantile regression
  • VSL
  • Value of statistical life

ASJC Scopus subject areas

  • Accounting
  • Finance
  • Economics and Econometrics

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