From unobserved to observed preference heterogeneity: a revealed preference methodology
提出一种易用的非参数显示偏好方法，从横截面数据中识别可观测的偏好异质性，并量化消费者特征对异质性的贡献，通过实验数据验证其在金钱和时间分配决策中的实用性。
Abstract We present an easy‐to‐apply non‐parametric revealed preference method to identify observed preference heterogeneity from cross‐sectional data. Building on the partitioning approach that was developed by Crawford and Pendakur ( Economic Journal , 2013, 123 (567), 77–95) and Cosaert ( Computational Economics , 2019, 53 (2), 533–54), it quantifies the contribution of observable consumer characteristics to describing the identified preference heterogeneity. We demonstrate the practical usefulness of our method through an application to newly gathered experimental data on consumer choice behaviour in two types of decision situations: the allocation of money (choosing between two products) and the allocation of time (choosing between leisure and work). We investigate whether the same consumer characteristics drive the observed variation in choice behaviour in these two settings.