Parametrizing nonparametric translog models: A goal programming/constrained regression study of U.S. manufacturing
AbstractThis 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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Bibliographic InfoArticle provided by Springer in its journal Empirical Economics.
Volume (Year): 24 (1999)
Issue (Month): 2 ()
Note: received: September 1996/final version received: September 1997
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- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
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