Parametrizing Nonparametric Translog Models : A Goal Programming/Constrained Regression Study of U.S. Manufacturing

This paper demonstrates how Goal Programming/Constrained Regression can be used for cross-checking results from standard econometric models as well as a stand alone methodology in empirical production analysis. For illustration, we re-examine Berndt and Wood's (BW) seminal study of the U.S. manufacturing industry. Whereas energy and capital were found to be complements in BW's study, we found them to be substitutes

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Year of publication:	1999
Authors:	Ziari, Houshmand ; Azzam, Azzeddine
Publisher:	[S.l.] : SSRN
Subject:	USA \| United States \| Nichtparametrisches Verfahren \| Nonparametric statistics \| Regressionsanalyse \| Regression analysis \| Industrie \| Manufacturing industries \| Schätztheorie \| Estimation theory
Description of contents:	Abstract [papers.ssrn.com]

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Extent:	1 Online-Ressource
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Empirical Economics, Vol. 24, No. 2, May 1999 Volltext nicht verfügbar
Classification:	C14 - Semiparametric and Nonparametric Methods ; C61 - Optimization Techniques; Programming Models; Dynamic Analysis ; D24 - Production; Capital and Total Factor Productivity; Capacity
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014193098