在三个先前发表的沿海和海洋资源选择研究中对属性不出席的核算

D. Petrolia, Joonghyun Hwang
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引用次数: 1

摘要

我们回顾了最近发表的三篇论文,根据属性不出席(AN-A),将离散选择实验方法应用于沿海和海洋生态系统产品和服务。我们发现,考虑AN-A并不总是改善模型拟合,但当它这样做时,改进可能是实质性的。估计价格和属性系数的变化,但这些变化不遵循一个一致的模式,无论是在方向或大小。平均属性增量值(即,支付意愿,WTP)估计变化,但也没有可识别的模式。然而,在一些情况下,通常在考虑AN-A改善模型拟合的情况下,我们观察到WTP的置信区间有了实质性的改进,也就是说,考虑AN-A似乎产生了更精确的WTP估计。简而言之,我们发现对AN-A的核算并不总是有保证的,但当它得到保证时,关键的回报似乎是更精确的WTP估计。
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Accounting for Attribute Non-Attendance in Three Previously-Published Choice Studies of Coastal and Marine Resources
We revisit three recently-published papers that apply discrete-choice experiment methods to coastal and marine ecosystem goods and services, in light of attribute non-attendance (AN-A). We find that accounting for AN-A does not always improve model fit, but when it does, the improvement can be substantial. Estimated price and attribute coefficients change, but these changes do not follow a consistent pattern, either in direction or magnitude. Mean attribute increment value (i.e., willingness to pay, WTP) estimates change, but also with no discernible pattern. However, in several cases, generally in those cases where accounting for AN-A improves model fit, we observe substantial improvements in the confidence intervals on WTP, i.e., accounting for AN-A appears to produce much more precise WTP estimates. In short, we find that accounting for AN-A is not always warranted, but when it is, the key payoff appears to be more precise WTP estimates.
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