How Unobservable Productivity Biases the Value of a Statistical Life

Working Paper: NBER ID: w11659

Authors: Thomas J. Kniesner; W. Kip Viscusi; Christopher Woock; James P. Ziliak

Abstract: A prominent theoretical controversy in the compensating differentials literature concerns unobservable individual productivity. Competing models yield opposite predictions depending on whether the unobservable productivity is safety-related skill or productivity generally. Using five panel waves and several new measures of worker fatality risks, first-difference estimates imply that omitting individual heterogeneity leads to overestimates of the value of statistical life, consistent with the latent safety-related skill interpretation. Risk measures with less measurement error raise the value of statistical life, the net effect being that estimates from the static model range from $5.3 million to $6.7 million, with dynamic model estimates somewhat higher.

Keywords: Value of Statistical Life; Unobservable Productivity; Compensating Differentials

JEL Codes: I10; J17; J28; K00


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Omitting individual heterogeneity in productivity (D29)Overestimates of VSL (J17)
Unobservable productivity (O49)VSL estimates (J17)
More accurate risk measures (C58)Higher VSL estimates (J17)
Omitted variable bias from unobservable productivity and safety-related skill (J24)Discrepancies in VSL estimates (J17)
Individual heterogeneity in safety-related skills (J28)VSL (J17)

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