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

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International Rice Research Institute, DAPO Box 7777, Metro Manila 1301, The Philippines
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Entropy 2011, 13(11), 1916-1927; https://doi.org/10.3390/e13111916
Received: 29 September 2011 / Revised: 17 October 2011 / Accepted: 24 October 2011 / Published: 28 October 2011
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. View Full-Text
Keywords: stochastic frontier; spatial dependency; generalized maximum entropy stochastic frontier; spatial dependency; generalized maximum entropy
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Tonini, A.; Pede, V. A Generalized Maximum Entropy Stochastic Frontier Measuring Productivity Accounting for Spatial Dependency. Entropy 2011, 13, 1916-1927.

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