Uncertainty and measurement error in welfare models for risk changes

Mary Riddel (mriddel@unlv.nevada.edu)

Journal of Environmental Economics and Management, 2011, vol. 61, issue 3, 341-354

Abstract: Most welfare models of environmental or mortality risk reductions assume that risks are exogenously determined and known with certainty. However, a growing body of research suggests that uncertainty about risks can affect choices over risky prospects. I present a decision-weighted random-utility model that decomposes welfare losses into those attributable to an increase in the deterministic component of risk and those attributable to uncertainty about risk. I apply the model to an illustrative dataset of subjects' perceived mortality risk and willingness to accept the risk of nuclear-waste transport. I estimate the model using Lewbel's (2000) strictly exogenous regressor approach to account for endogeneity bias and measurement error. Subjects display aversion to both risk and uncertainty about the risk of a transport accident, so that increases in either leads to social-welfare losses. Roughly 12% of the external cost of nuclear-waste transport is attributable to the public's uncertainty about transport risk.

Keywords: Risk; and; uncertainty; Decision-weighted; utility; Subjective; expected; utility; Nuclear-waste; transport (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (21)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jeeman:v:61:y:2011:i:3:p:341-354

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