Generalized Additive Models for Nonmarket Valuation via Revealed or Stated Preference Methods
展示了如何使用广义加性模型（GAM）放松传统环境经济学模型中的强参数假设，半参数地估计变量非线性，并构建理论一致的支持意愿度量，对从事非市场估值的研究者有用。
Single-site recreation demand and dichotomous choice contingent valuation analyses are typically conducted by implementing models containing strong parametric assumptions, which are rarely underpinned by theoretical arguments. This work illustrates how these assumptions can be relaxed and the estimation conducted semiparametrically by using generalized additive models (GAMs). This approach directly estimates the degree of the variables’ nonlinearities from the data, thereby avoiding subjective choices on the smoothing parameters and offering many advantages when compared to the conventional modeling techniques that dominate the environmental economics literature. Additionally, this paper illustrates how GAMs can be specified to construct theoretically consistent willingness-to-pay measures. <i></i>