Valuing Time-Varying Attributes Using the Hedonic Model: When Is a Dynamic Approach Necessary?
基于Rosen的静态模型，构建了一个前瞻性的区位选择模型，推导出调整因子将静态估计转换为动态估计，并通过暴力犯罪和空气污染的支付意愿案例验证。
Abstract We build on the intuitive (static) modeling framework of Rosen (1974) and specify a simple, forward-looking model of location choice. We use this model, along with a series of graphs, to describe the potential biases associated with the static model and relate these biases to the time series of the amenity of interest. We then derive an adjustment factor that allows the potentially biased static estimates to be converted into forwardlooking estimates. Finally, we illustrate these concepts with two empirical applications: the marginal willingness to pay to avoid violent crime and the marginal willingness to pay to avoid air pollution.