Best Nonparametric Bounds on Demand Responses
利用显示偏好不等式，结合恩格尔曲线半参数估计，给出消费者对价格变化反应的最紧非参数边界，并允许响应随收入分布变化，为实证需求分析提供新工具。
This paper uses revealed preference inequalities to provide the tightest possible (best) nonparametric bounds on predicted consumer responses to price changes using consumer-level data over a finite set of relative price changes. These responses are allowed to vary nonparametrically across the income distribution. This is achieved by combining the theory of revealed preference with the semiparametric estimation of consumer expansion paths (Engel curves). We label these expansion path based bounds on demand responses as E-bounds. Deviations from revealed preference restrictions are measured by preference perturbations which are shown to usefully characterize taste change and to provide a stochastic environment within which violations of revealed preference inequalities can be assessed. Copyright 2008 The Econometric Society.