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- W2152619818 abstract "A flexible functional form can provide a second-order approximation to an arbitrary unknown function at a single point. Except in special cases, the parameters of flexible forms will vary from one point of approximation to another. I use this property to show that, in general, if an unknown function is homogeneous then i) Euler's Theorem gives rise to linear equality constraints involving both the data and a set of observation-varying flexible form parameters, ii) the common practice of imposing homogeneity on flexible functional forms is unnecessarily restrictive, and iii) it is possible to obtain estimates of the observation-varying parameters of approximating flexible forms using a Singular Value Decomposition (SVD) estimator. Two illustrations are provided: artificially-generated data is used to estimate the characteristics of a generalised linear production function; and Canadian data is used to estimate the characteristics of a consumer demand system." @default.
- W2152619818 created "2016-06-24" @default.
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- W2152619818 date "2000-01-01" @default.
- W2152619818 modified "2023-09-23" @default.
- W2152619818 title "ESTIMATING THE CHARACTERISTICS OF HOMOGENEOUS FUNCTIONSUSING FLEXIBLE FUNCTIONAL FORMS" @default.
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- W2152619818 doi "https://doi.org/10.22004/ag.econ.123713" @default.
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