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Data · dataset · 2006

Measuring Consumer Benefits of Food Risk Reductions

Listed in Harvard Dataverse

The goal of the paper is to develop a contingent valuation method (CVM) for valuing reductions in food risk associated with bacterial pathogens and pesticide residuals.

Description

Values will be elicited using willingness to pay (WTP). WTP is based on economic theory of the consumer, and measures rates of substitution between money and health risk.

It will be estimated using contingent valuation method, in which respondents are presented with a hypothetical good (e.g., the opportunity to reduce the probability of suffering a specified food-borne illness) and questioned about the amount of money they would trade in exchange for the good. WTP values are obtained for various reductions in food risks with differing baseline probability, duration and severity of symptoms, and magnitude of risk reduction.

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Estimated value of illness per care ranges between US$1900 to US$16000. From the policy standpoint it is essential to be able to establish appropriate values for the health outcomes in order assess the policy importance and the extent of the individual loss that has occurred. Understanding the benefit value will also further enable policymakers to identify the rationality of decision making.

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Provenance · 1 source records, 5 field assertions
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Harvard Dataversedoi:10.6141/TW-SRDA-E91063-113 d agoJSON v1
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