The Value of a Statistical Injury: New Evidence from the Swiss Labor Market

Abstract

This paper deals with the compensation for non-fatal accident risk in Switzerland and presents empirical estimates of the value of a statistical injury. We approach the problem of endogenous sorting of workers into jobs with different accident risks based on unobserved productivity differences twofold. First, we have access to the number of accidents not only at the level of industries, but within cells defined over industry×skill-level of the job, which allows us to estimate risk compensation within groups of workers defined over the same cells. Second, we capitalize on the partial panel structure of our data which allows us to empirically isolate the wage component specific to the employer. Our different approaches to identification in fact yield very different estimates of the value of a statistical injury. Our preferred estimate gives an estimate of about 40,000 Swiss francs (per prevented injury per year). JEL classification: J31, J17Keywords: Compensating Wage Differentials, Value of a Statistical Injury, Risk Measurement, Unobserved Productivity * Olivier Steiger, Rainer Winkelmann and Josef Zweimüller provided many helpful comments and suggestions which significantly improved this study. We thank Alois Fässler from the Swiss Accident Insurance Fund (Suva) for providing us with the data and helpful guidelines concerning the data. We also thank Simon Büchi for reviewing parts of the code for the empirical analysis. Simone Gaillard and Jonathan Lorand proof-read the manuscript.

Value of Life and Injury: Evidence From a U.S. Fishery

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Cost-benefit management of intentional domino effects in chemical industrial areas

“…In order to calculate the costs of human life, the value of a statistic life (VSL) of €5.8 M (Birk, 2014) and the value of a statistical injury of €31 K (Kuhn and Ruf, 2013) are adopted for case study.…”