Who Cares about Environmental Stigmas and Does It Matter? A Latent Segmentation Analysis of Stated Preferences for Real Estate
通过潜在分割分析，估计伊利诺伊州沃基根港污染物清理的收益，发现态度和感知问题能识别不同偏好群体，而人口统计变量的预测作用不明确。清理带来的总支付意愿相当于房价上涨20%。
This article uses latent segmentation analysis to estimate the benefits of contaminant cleanup in Waukegan Harbor, Illinois. Survey responses to attitudinal and perception questions provide significant information about the existence of distinct preference groups. By comparison, the predictive usefulness of demographic covariates is unclear. The expected aggregate willingness‐to‐pay of Waukegan homeowners for full cleanup is approximately equivalent to a 20% increase in the market value of homes. The aggregate estimate is little affected by the identification of preference clusters.