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Inference in dynamic stochastic frontier models
Author(s) -
Tsionas Efthymios G.
Publication year - 2006
Publication title -
journal of applied econometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.878
H-Index - 99
eISSN - 1099-1255
pISSN - 0883-7252
DOI - 10.1002/jae.862
Subject(s) - inefficiency , inference , econometrics , frontier , bayesian inference , computer science , bayesian probability , panel data , economics , stochastic frontier analysis , artificial intelligence , microeconomics , production (economics) , archaeology , history
An important issue in models of technical efficiency measurement concerns the temporal behaviour of inefficiency. Consideration of dynamic models is necessary but inference in such models is complicated. In this paper we propose a stochastic frontier model that allows for technical inefficiency effects and dynamic technical inefficiency, and use Bayesian inference procedures organized around data augmentation techniques to provide inferences. Also provided are firm‐specific efficiency measures. The new methods are applied to a panel of large US commercial banks over the period 1989–2000. Copyright © 2006 John Wiley & Sons, Ltd.