OSHA Enforcement and Workplace Injuries: A Behavioral Approach to Risk Assessment
John T Scholz and
Wayne Gray
Journal of Risk and Uncertainty, 1990, vol. 3, issue 3, 283-305
Abstract:
We develop a model of risk assessment that incorporates assumptions from the behavioral theory of the firm into conventional expected utility models of compliance, and test the model using data on injuries and OSHA inspections for 6842 manufacturing plants between 1979 and 1985. Four hypotheses are supported--the specific deterrence effect of an inspection, the importance of lagged effects of general deterrence, the asymmetrical effects of probability and amount of penalty on injuries, and the tendency of injury rates to self-correct over a few years. The model estimates that a 10 percent increase in enforcement activities will reduce injuries by about 1 percent for large, frequently inspected firms. prior analyses reporting lower impacts (Smith, 1979; Viscusi, 1986) are replicated to distinguish between sampling and modeling differences. The results suggest that further compliance theory needs more detailed models of risk-assessment processes to be tested on samples of firms most affected by enforcement. Copyright 1990 by Kluwer Academic Publishers
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (35)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:jrisku:v:3:y:1990:i:3:p:283-305
Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/11166/PS2
Access Statistics for this article
Journal of Risk and Uncertainty is currently edited by W. Kip Viscusi
More articles in Journal of Risk and Uncertainty from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().