Nonparametric Engel Curves and Revealed Preference
将显示偏好理论应用于消费者需求的非参数统计分析，利用恩格尔曲线估计扩展路径，并检验英国家庭支出调查数据与理论的一致性，为真实生活成本指数设定严格界限。
This paper applies revealed preference theory to the nonparametric statistical analysis of\nconsumer demand. Knowledge of expansion paths is shown to improve the power of nonparametric\ntests of revealed preference. The tightest bounds on indifference surfaces and\nwelfare measures are derived using an algorithm for which revealed preference conditions\nare shown to guarantee convergence. Nonparametric Engel curves are used to estimate\nexpansion paths and provide a stochastic structure within which to examine the consistency\nof household level data and revealed preference theory. An application is made to a long\ntime series of repeated cross-sections from the Family Expenditure Survey for Britain. The\nconsistency of these data with revealed preference theory is examined. For periods of consistency\nwith revealed preference, tight bounds are placed on true cost of living indices.