Finding Sensitivity to Scope in Nonmarket Valuation
研究通过加州家庭水质估值的混合logit模型，发现忽略偏好异质性和相关性会导致范围敏感性检验出现假阴性，蒙特卡洛模拟显示即使个体内支付意愿显示强范围敏感性，也可能错误拒绝范围敏感性。
Data limitations frequently prevent using actual consumer behavior in determining natural resource values, so stated preference methods are used. Whether value estimates show sensitivity to the scope of resource valued is a key test for their validity, which several studies fail. Developing a correlated panel mixed logit model of households' water quality valuations in California, we show that false negatives in scope tests can result when individual preference variation and correlation are ignored and split-sample comparisons are used. Monte Carlo simulations further demonstrate potentially prevalent false rejections of scope sensitivity even when within-subject comparisons of willingness to pay portray strong scope sensitivity. Copyright © 2013 John Wiley & Sons, Ltd.