NDLI: Simulated maximum likelihood estimation of spatial stochastic frontier model and its application?

Content Provider	IEEE Xplore Digital Library
Author	Jiaxian Lin Zhihe Long Kuanpin Lin
Copyright Year	2010
Description	Author affiliation: School of Economics and Commerce, South China University of Technology, Guangzhou, China (Jiaxian Lin; Zhihe Long) \|\| Department of Economics, Portland State University, Oregon, USA (Kuanpin Lin)
Abstract	This paper considers a spatial stochastic frontier model that accounts for possible unknown geographical variation of the outputs. The stochastic frontier model is augmented with a spatial autoregressive structure for the two-sided part of the disturbance, and the time-varying technical inefficiency is not imposed a rigorous function structure. Because of the spatial effect and the asymmetry composed error structure, it is intractable to employ maximum likelihood method directly to estimate the proposed model. Simulated maximum likelihood estimation is used instead. We derive the simulated likelihood function of the model, and present an application of the estimation method on China province-level panel data from 2000 to 2007. The results show that the spatial effect is highly significant, and the ignorance of the spatial effect produces significantly different rankings of technical efficiencies across production units.
Starting Page	330
Ending Page	333
File Size	539240
Page Count	4
File Format	PDF
ISBN	9781424490875
e-ISBN	9781424490905
DOI	10.1109/FITME.2010.5654751
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	simulated maximum likelihood Economic indicators spatial econometrics Table lookup Yttrium stochastic frontier technical efficiency
Content Type	Text
Resource Type	Article

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