EFFICIENT QUANTITATIVE RISK ASSESSMENT OF JUMP PROCESSES: IMPLICATIONS FOR FOOD SAFETY
William Nganje
No 23662, Staff Papers from North Dakota State University, Department of Agribusiness and Applied Economics
Abstract:
This paper develops a dynamic framework for efficient quantitative risk assessment from the simplest general risk, combining three parameters (contamination, exposure, and dose response) in a Kataoka safety-first model and a Poisson probability representing the uncertainty effect or jump processes associated with food safety. Analysis indicates that incorporating jump processes in food safety risk assessment provides more efficient cost/risk tradeoffs. Nevertheless, increased margin of safety may lead to reduction in food safety expenses on areas that have relative advantage in reducing mean risk. The paper also develops an alternative measure for the value of risk reduction associated with uncertainty of jump processes and the cost of food safety.
Keywords: Food; Consumption/Nutrition/Food; Safety (search for similar items in EconPapers)
Pages: 11
Date: 1999
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/23662/files/ae99006.pdf (application/pdf)
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:ags:nddsps:23662
DOI: 10.22004/ag.econ.23662
Access Statistics for this paper
More papers in Staff Papers from North Dakota State University, Department of Agribusiness and Applied Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().