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On the validity of the estimates of the VSL from contingent valuation: Evidence from the Czech Republic

机译:关于截止估值的VSL估计的有效性:来自捷克共和国的证据

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We assess the reliability and validity of estimates of the Value per Statistical Life (VSL) from contingent valuation by administering the same contingent valuation (CV) questionnaire on samples drawn from the population of the Czech Republic five years apart. We use a novel approach in eliciting the WTP for cancer mortality risk reduction, in that we present respondents with two probabilities-that of getting cancer, and that of surviving it. We find that the cancer VSL is somewhat different across the two samples, but this difference is completely explained by income and cancer dread. The WTP is proportional to the size of the cancer mortality risk reduction, and increases with income and with cancer dread. The income elasticity of the VSL is 0.5 to 0.7, and is thus in line with the findings in Masterman and Viscusi (2018). Our estimates of the VSL (approximately euro3-4 mill. May 2019 PPP euro) are close to Viscusi and Masterman's prediction (2017) based on compensating wage studies, less than the estimates from compensating wage studies conducted in the Czech Republic, and similar to estimates from other stated preference studies in the Czech Republic. We conclude that the CV questionnaire and administration procedures produce reliable and stable results, and that construct and criterion validity are likewise good. We interpret these findings as providing support for an approach that expresses very small mortality risks and risk reductions as the product of two probabilities.
机译:我们通过向捷克共和国人口分开,从捷克共和国的人口中汲取的样本相同的估价(CV)问卷来评估从截止值估值的估计价值(VSL)的估计的可靠性和有效性。我们使用一种新的方法来引发WTP进行癌症死亡率降低,因为我们呈现出具有两种概率的受访者 - 获得癌症的受访者以及幸存的患者。我们发现癌症VSL在两种样品中有些不同,但是通过收入和癌症恐惧彻底解释了这种差异。 WTP与癌症死亡率降低的大小成比例,并随收入和癌症害怕增加。 VSL的收入弹性为0.5至0.7,因此符合Masterman和Viscusi(2018)的研究结果。我们的VSL估计(约EURO3-4磨坊。2019年5月PPP EURO)基于补偿工资研究,靠近Viscusi和Masterman的预测(2017年),而不是补偿捷克共和国在捷克共和国进行的工资研究和类似的估计捷克共和国的其他偏好研究的估计。我们得出结论,CV问卷和管理程序产生可靠且稳定的结果,并且构建体和标准有效性同样良好。我们将这些调查结果解释为提供对表达非常小的死亡风险和风险减少的方法的支持,这是两种概率的乘积。

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