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A Varying Coefficient Approach to Global Flexibility in Demand Analysis: A Semiparametric Approximation
Author(s) -
Sarmiento Camilo
Publication year - 2005
Publication title -
american journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.949
H-Index - 111
eISSN - 1467-8276
pISSN - 0002-9092
DOI - 10.1111/j.0002-9092.2005.00700.x
Subject(s) - curse of dimensionality , flexibility (engineering) , kernel (algebra) , econometrics , integrable system , computer science , semiparametric regression , economics , mathematical optimization , mathematics , statistics , artificial intelligence , nonparametric statistics , combinatorics , pure mathematics
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.