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Modeling Spatial Patchiness and Hot Spots in Stated Preference Willingness to Pay

机译:在陈述的偏好支付意愿中模拟空间斑块和热点

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摘要

Stated preference analyses often impose strong assumptions regarding spatial welfare distributions that can influence the validity of welfare analysis and aggregation. These include spatial homogeneity and continuous distance decay. Global assumptions such as these are increasingly questioned by non-economics disciplines in favor of approaches that allow for local patchiness. Drawing from this literature, this article proposes methods to identify and evaluate hot spots in stated preference welfare estimates using local indicators of spatial association. Methods are illustrated using geocoded choice experiment data addressing river restoration. Results suggest the presence of statistically significant, non-continuous patterns overlooked by current approaches.
机译:陈述的偏好分析通常对空间福利分布强加强有力的假设,这可能会影响福利分析和聚合的有效性。这些包括空间均匀性和连续距离衰减。诸如此类的全球性假设越来越受到非经济学学科的质疑,他们赞成采用允许局部修补的方法。从这些文献中汲取教训,本文提出了使用局部空间关联指标在指定的优惠福利估计中识别和评估热点的方法。使用地理编码选择实验数据说明了河流修复的方法。结果表明存在统计学上显着的,非连续的模式,被当前的方法所忽略。

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