RANDOMIZED SAFETY INSPECTIONS AND RISK EXPOSURE ON THE JOB: QUASI-EXPERIMENTAL ESTIMATES OF THE VALUE OF A STATISTICAL LIFE
Jonathan Lee and
Laura Taylor
Working Papers from U.S. Census Bureau, Center for Economic Studies
Abstract:
Compensating wages for workplace fatality and accident risks are used to infer the value of a statistical life (VSL), which in turn is used to assess the benefits of human health and safety regulations. The estimation of these wage differentials, however, has been plagued by measurement error and omitted variables. This paper employs the first quasi-experimental design within a labor market setting to overcome such limitations in the ex-tant literature. Specifically, randomly assigned, exogenous federal safety inspections are used to instrument for plant-level risks and combined with confidential U.S. Census data on manufacturing employment to estimate the VSL using a difference-in-differences framework. The VSL is estimated to be between $2 and $4 million ($2011), suggesting prior studies may substantially overstate the value workers place on safety, and therefore, the benefits of health and safety regulations.
Keywords: value of a statistical life; hedonic wage models; OSHA; quasi-experiment (search for similar items in EconPapers)
JEL-codes: I18 J17 Q58 (search for similar items in EconPapers)
Pages: 51 pages
Date: 2014-01
New Economics Papers: this item is included in nep-hea and nep-rmg
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
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https://www2.census.gov/ces/wp/2014/CES-WP-14-05.pdf First version, 2014 (application/pdf)
Related works:
Journal Article: Randomized Safety Inspections and Risk Exposure on the Job: Quasi-experimental Estimates of the Value of a Statistical Life (2019) 
Working Paper: Randomized Safety Inspections and Risk Exposure on the Job: Quasi-Experimental Estimates of the Value of a Statistical Life (2017) 
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Persistent link: https://EconPapers.repec.org/RePEc:cen:wpaper:14-05
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