ESTIMATING THE CHARACTERISTICS OF HOMOGENEOUS FUNCTIONSUSING FLEXIBLE FUNCTIONAL FORMS

dc.creatorO'Donnell, Christopher J.
dc.date2017-04-01T20:14:41Z
dc.date.accessioned2026-07-09T06:03:43Z
dc.descriptionA 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.
dc.identifierdoi:10.22004/ag.econ.123713
dc.identifierhttps://ageconsearch.umn.edu/record/123713/files/Odonnell.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/123713
dc.identifier.urihttp://hdl.handle.net/123456789/571859
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/123713
dc.titleESTIMATING THE CHARACTERISTICS OF HOMOGENEOUS FUNCTIONSUSING FLEXIBLE FUNCTIONAL FORMS
dc.typeText

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