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

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Abstract

We study the monetary compensation for non-fatal accident risk in Switzerland using the number of accidents within cells defined over industry x skill-level of the job and capitalizing on the partial panel structure of our data which allows us to empirically isolate the wage component specific to the employer. Our results show that using accident risk at a lower level of aggregation, using narrower samples of workers, and using the wage component that is specific to the firm all yield higher estimates of risk compensation. Our preferred estimate gives an estimate of about 36,000 Swiss francs per prevented injury per year.

Suggested Citation

  • Andreas Kuhn & Oliver Ruf, 2009. "The Value of a Statistical Injury: New Evidence from the Swiss Labor Market," NRN working papers 2009-15, The Austrian Center for Labor Economics and the Analysis of the Welfare State, Johannes Kepler University Linz, Austria.
  • Handle: RePEc:jku:nrnwps:2009_15
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    References listed on IDEAS

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    More about this item

    Keywords

    Compensating wage differentials; value of a statistical injury; risk measurement;

    JEL classification:

    • J17 - Labor and Demographic Economics - - Demographic Economics - - - Value of Life; Foregone Income
    • J28 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Safety; Job Satisfaction; Related Public Policy
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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