Nonparametric estimation of concave production technologies by entropic methods
AbstractAn econometric methodology is developed for nonparametric estimation of concave production technologies. The methodology, bases on the priciple of maximum likelihood, uses entropic distance and concvex programming techniques to estimate production functions.
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Bibliographic InfoPaper provided by EconWPA in its series Econometrics with number 0512003.
Length: 30 pages
Date of creation: 06 Dec 2005
Date of revision:
Note: Type of Document - pdf; pages: 30. Nonparametric estimation subject to shape constraints
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convex programming; production functions; entropy;
Other versions of this item:
- Gad Allon & Michael Beenstock & Steven Hackman & Ury Passy & Alexander Shapiro, 2007. "Nonparametric estimation of concave production technologies by entropic methods," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 795-816.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-12-14 (All new papers)
- NEP-ECM-2005-12-14 (Econometrics)
- NEP-EFF-2005-12-14 (Efficiency & Productivity)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- repec:att:wimass:9217 is not listed on IDEAS
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