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Entropy 2011, 13(11), 1916-1927; doi:10.3390/e13111916
Article

A Generalized Maximum Entropy Stochastic Frontier Measuring Productivity Accounting for Spatial Dependency

1,*  and 2
Received: 29 September 2011; in revised form: 17 October 2011 / Accepted: 24 October 2011 / Published: 28 October 2011
Download PDF [259 KB, uploaded 28 October 2011]
Abstract: In this paper, a stochastic frontier model accounting for spatial dependency is developed using generalized maximum entropy estimation. An application is made for measuring total factor productivity in European agriculture. The empirical results show that agricultural productivity growth in Europe is driven by upward movements of technology over time through technological developments. Results are then compared for a situation in which spatial dependency in the technical inefficiency effects is not accounted.
Keywords: stochastic frontier; spatial dependency; generalized maximum entropy stochastic frontier; spatial dependency; generalized maximum entropy
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Tonini, A.; Pede, V. A Generalized Maximum Entropy Stochastic Frontier Measuring Productivity Accounting for Spatial Dependency. Entropy 2011, 13, 1916-1927.

AMA Style

Tonini A, Pede V. A Generalized Maximum Entropy Stochastic Frontier Measuring Productivity Accounting for Spatial Dependency. Entropy. 2011; 13(11):1916-1927.

Chicago/Turabian Style

Tonini, Axel; Pede, Valerien. 2011. "A Generalized Maximum Entropy Stochastic Frontier Measuring Productivity Accounting for Spatial Dependency." Entropy 13, no. 11: 1916-1927.


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