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A Varying Coefficient Approach to Global Flexibility in Demand Analysis: A Semiparametric Approximation
Authors:Camilo  Sarmiento
Institution:Camilo Sarmiento is currently associate research scientist at the Pacific Institute for Research and Evaluation, Calverton Office Park, MD.
Abstract:To reduce dimensionality issues, this article derives a globally flexible demand system that can be estimated non-parametrically with a specially devised temporal kernel. Statistical and economic results from a meat demand application underscores the usefulness of a temporal kernel in globally approximating an integrable demand system.
Keywords:demand system  global flexibility  integrability  kernel regression  meat demand  time varying coefficient
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