Homothetic Efficiency: Theory and Applications
提出一种基于同质效率的非参数显示偏好方法，用于分析消费选择，相比Afriat效率能更好区分随机行为，并用实验和家庭调查数据展示其应用。
We provide a nonparametric revealed preference approach to demand analysis based on homothetic efficiency. Homotheticity is widely assumed (often implicitly) because it is a convenient and often useful restriction. However, this assumption is rarely tested, and data rarely satisfy testable conditions. To overcome this, we provide a way to estimate homothetic efficiency of consumption choices. The method provides considerably higher discriminatory power against random behavior than the commonly used Afriat efficiency. We use experimental and household survey data to illustrate how our approach is useful for different empirical applications and can provide greater predictive success.