Using Revealed Preference Methods to Estimate the Value of Reduced Mortality Risk: Best Practice Recommendations for the Hedonic Wage Model

IF 7.8 3区 经济学 Q1 ECONOMICS
Mary F. Evans, Laura O. Taylor
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引用次数: 11

Abstract

The hedonic wage model provides a key input into benefit–cost analyses of public policies that are aimed at reducing mortality risks: an estimate of the value of reduced mortality risk (VRMR), also known as the value of a statistical life. Because a large majority of the benefits associated with policies that improve air quality stem from mortality risk reductions, estimates of the VRMR play an exceptionally important role. The use of VRMR estimates from hedonic wage studies in benefit–cost analyses of environmental policies is not without controversy. This article reviews the use and importance of the VRMR in environmental regulation and policy and summarizes the major shortcomings of existing VRMR estimates derived from hedonic wage models. We propose a set of best practices for estimating and reporting VRMR estimates using the hedonic wage framework
使用揭示偏好方法估计降低死亡率风险的价值:Hedonic工资模型的最佳实践建议
享乐工资模型为旨在降低死亡风险的公共政策的收益-成本分析提供了一个关键输入:对降低死亡风险价值(VRMR)的估计,也称为统计生命的价值。由于与改善空气质量的政策相关的绝大多数效益源于降低死亡风险,因此对VRMR的估计发挥着极其重要的作用。在环境政策的效益-成本分析中使用享乐工资研究的VRMR估计并非没有争议。本文回顾了VRMR在环境法规和政策中的使用和重要性,并总结了现有的基于享乐工资模型的VRMR估计的主要缺点。我们提出了一套使用享乐工资框架估算和报告VRMR估算的最佳实践
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来源期刊
CiteScore
10.80
自引率
0.00%
发文量
25
期刊介绍: The Review of Environmental Economics and Policy fills the gap between traditional academic journals and the general interest press by providing a widely accessible yet scholarly source for the latest thinking on environmental economics and related policy. The Review publishes symposia, articles, and regular features that contribute to one or more of the following goals: •to identify and synthesize lessons learned from recent and ongoing environmental economics research; •to provide economic analysis of environmental policy issues; •to promote the sharing of ideas and perspectives among the various sub-fields of environmental economics;
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