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

Andreas Kuhn () and Oliver Ruf ()
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Andreas Kuhn: Swiss Federal Institute for Vocational Education and Training
Oliver Ruf: Suva

No 4409, IZA Discussion Papers from Institute of Labor Economics (IZA)

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.

Keywords: risk measurement; value of a statistical injury; compensating wage differentials (search for similar items in EconPapers)
JEL-codes: J17 J28 J31 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2009-09
New Economics Papers: this item is included in nep-hea and nep-lab
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Published - revised version published in: Swiss Journal of Economics and Statistics, 2013, 149 (1), 57-86

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