Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/186015 
Year of Publication: 
2013
Citation: 
[Journal:] Swiss Journal of Economics and Statistics [ISSN:] 2235-6282 [Volume:] 149 [Issue:] 1 [Publisher:] Springer [Place:] Heidelberg [Year:] 2013 [Pages:] 57-86
Publisher: 
Springer, Heidelberg
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. 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 (i.e. more positive) estimates of risk compensation. However, we only find a statistically significant positive compensation for non-fatal accident risk for workers in jobs with the lowest skill-level. Our preferred estimate for this group of workers yields an estimate of about 35,000 Swiss francs per prevented injury per year.
Subjects: 
Compensating wage differentials
value of a statistical injury
risk measurement
JEL: 
J17
J28
J31
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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