Variations between Countries in Values of Statistical Life

By T. Miller. Journal of Transport Economics and Policy, 2000

415 citations recorded by the source corpus.

Estimated values of statistical life exist from 68 reasonably credible studies spread across 13 countries. The income-elasticity of values across countries ranges from 0.85 to 1.00 in models at different levels of aggregation. The values are typically about 120 times GDP per capita. Regression-based value estimates for most developed and developing countries are presented.

Subfields: Management, Monitoring, Policy and Law, Sociology and Political Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/636f30c7f8040c44d37d99a2bf5f4bafd9f08657

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management, Monitoring, Policy and Law

In Sociology and Political Science

In Soil Science

Citations in the corpus

The human development index, 1870-1999: some revised estimates (2002, result): “This proportionality is an attractive feature of the new version of the index since it implies that the value attached to reducing mortality risks has a unitary income elasticity which is consistent with the empirical evidence (Miller 2000).”
Valuing Mortality Risk Reductions: Progress and Challenges (2011, methodology): “The metaregressions conducted by Miller (2000), Mrozek & Taylor (2002), and Viscusi & Aldy (2003) explain variation in VSL estimates across studies as a function of study and population characteristics.”
Context and the VSL: Evidence from a Stated Preference Study in Italy and the Czech Republic (2011, background): “Siebert and Wei (1994), Leigh (1995), Miller (2000), Black et al. (2002), Black and Kniesner (2003) and Hintermann et al. (2008) discuss several reasons why the estimates of the VSL from compensating wage studies are econometrically fragile.”
The health effects of education (2007, background): “In a regression of ‘best estimates’ of values of a statistical life year on a number of characteristics of the studies and countries included, Miller (2000) finds that the value of a statistical life year is $ 4 million.”
An Empirical Bayes Approach to Combining and Comparing Estimates of the Value of a Statistical Life for Environmental Policy Analysis (2006, neutral): “Our mean VSL for the U.S. sample of $8.9 million is somewhat higher than the Viscusi and Aldy's most comprehensive robust estimate of $7.6 million for their U.S. sample.”
Estimating the Intangible Victim Costs of Violent Crime (2005, background): “On the basis of surveys by Viscusi (1993), Day (1999), Miller (2000) and Mrozek and Taylor (2002), it emerges that the majority of studies (mainly in the United States) produce a VPF somewhere in the region of £1m–£5m.”
The value of a statistical life (2009, neutral): “Even if RP and “CVM studies do not always find a statistically significant relationship with income...” (Hammitt, 2000a, p. 15), the evidence that VSL increases with wealth is quite strong (de Blaeij et al., 2003; Liu et al., 1997; Miller, 2000; Mrozek and Taylor, 2002; Viscusi and Aldy, 2003).”
The Income Elasticity of the Value per Statistical Life: Transferring Estimates between High and Low Income Populations (2011, background): “Viscusi and Aldy first use their dataset DOI: 10.2202/2152-2812.1009 of wage-risk studies to re-estimate selected models developed in four previous meta-analyses: Liu, Hammitt and Liu (1997), Miller (2000), Bowland and Beghin (2001), and Mrozek and Taylor (2002).”
Part I: Externalities and economic policies in road transport (2010, methodology): “Income or GDP per capita is found to be an important explanatory variable (Bowland & Beghin, 2001; De Blaeij et al., 2003; Miller, 2000) with elasticities in the range of 0.”