Nonparametric Estimation of a Nonseparable Demand Function under the Slutsky Inequality Restriction
提出一种在斯卢茨基不等式形状约束下，对具有不可分未观测异质性的需求函数进行一致非参数估计的方法，并用其估计美国汽油需求，发现重度和中度用户行为差异以及价格响应随收入分布的变化。
We present a method for consistent nonparametric estimation of a demand function with nonseparable unobserved taste heterogeneity subject to the shape restriction implied by the Slutsky inequality. We use the method to estimate gasoline demand in the United States. The results reveal differences in behavior between heavy and moderate gasoline users. They also reveal variation in the responsiveness of demand to plausible changes in prices across the income distribution. We extend our estimation method to permit endogeneity of prices. The empirical results illustrate the improvements in finite-sample performance of a nonparametric estimator from imposing shape restrictions based on economic theory.