Recreation Demand Models with Taste Differences over People
利用随机参数logit模型分析垂钓者的钓鱼地点选择，允许偏好因人而异，从而更准确地估计改善鱼类资源带来的支付意愿和具体地点的价值。
ABSTRACT: We estimate random-parameter logit models of anglers ' choice of fishing site. The models generalize logit by allowing coefficients to vary randomly over anglers rather than being fixed. The models do not exhIbit the restrictive "independence from irrelevant alternatives property of logit and can represent any substitution pattern. Estimation explicitly accounts for the fact that the variation in coefficients over anglers induces correlation in unobserved utility over trips by the same angler. Willingness-to-pay for improved fish stock and the value to anglers of specific sites are calculated from the models and compared with the estimates obtained from a standard logit model. I.