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:	1999-05-11
Authors:	Ziari, Houshmand ; Azzam, Azzeddine
Published in:	Empirical Economics. - Department of Economics and Finance Research and Teaching. - Vol. 24.1999, 2, p. 331-339
Publisher:	Department of Economics and Finance Research and Teaching
Subject:	Goal programming/constrained regression \| bootstrapping \| translog cost-function \| Berndt and Wood

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Extent:	application/pdf
Type of publication:	Article
Notes:	received: September 1996/final version received: September 1997
Classification:	C14 - Semiparametric and Nonparametric Methods ; C61 - Optimization Techniques; Programming Models; Dynamic Analysis ; D24 - Production; Capital and Total Factor Productivity; Capacity
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10005382294