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Автор Berndt , Ernst R.
Автор Showalter, Mark H.
Автор Wooldridge, Jeffrey M.
Дата выпуска 1993
dc.description In this paper we present a generalized functional form estimator, recently developed by jeffrey Wooldridge; and then we compare it empirically to the popular Box-Cox (BC) estimator using three data sets. We begin by briefly reviewing the drawbacks of the BC estimator. We Then introduce the nonlinear lest squares (NLS) alternative of Wooldridge which retains the desirable qualities of the BC estimator without the associated theoretical problems. We continue by applying both the BC and the NLS models to data from three classic hedonic regression studies and then compare the estimation resuts-point estimates, inferences and fitted values. The estimations include a wage rate equation, and two computer hedonic regression equations, one using data from a classic study by Gregory Chow and the other using an IBM data set that formed the basis of the new official BLS computer price index.
Формат application.pdf
Издатель Marcel Dekker, Inc.
Копирайт Copyright Taylor and Francis Group, LLC
Тема Functional form estimation
Тема Box-Cox
Тема Nonlinear least squares
Тема hedonic estimation
Название An empirical investigation of the box-cox model and a nonlinear least squares alternative
Тип research-article
DOI 10.1080/07474939308800254
Electronic ISSN 1532-4168
Print ISSN 0747-4938
Журнал Econometric Reviews
Том 12
Первая страница 65
Последняя страница 102
Аффилиация Berndt , Ernst R.; Sloan School of Management , MIT
Аффилиация Showalter, Mark H.; Department of Economics, Brigham Young University
Аффилиация Wooldridge, Jeffrey M.; Department of Economics, Michigan State University
Выпуск 1
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