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Nonparametric Estimation of a Nonseparable Demand Function under the Slutsky Inequality Restriction

机译:Slutsky不等式约束下不可分需求函数的非参数估计

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摘要

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.
机译:我们提出了一种对需求函数进行一致的非参数估计的方法,该函数具有不可分离的,未观察到的味道异质性,受Slutsky不等式暗示的形状限制。我们使用该方法估算美国的汽油需求。结果表明,重度和中度汽油使用者的行为差异。他们还揭示了需求对整个收入分配中价格可能发生的变化的响应能力的变化。我们扩展了估计方法,以允许价格内生。实证结果表明,通过基于经济理论施加形状限制,非参数估计器的有限样本性能得到了改善。

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