Inference in dynamic stochastic frontier models
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.
Year of publication: |
2006
|
---|---|
Authors: | Tsionas, Efthymios G. |
Published in: |
Journal of Applied Econometrics. - John Wiley & Sons, Ltd.. - Vol. 21.2006, 5, p. 669-676
|
Publisher: |
John Wiley & Sons, Ltd. |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Konstantakis, Konstantinos N., (2020)
-
Robust Bayesian inference in stochastic frontier models
Tsionas, Efthymios G., (2019)
-
Remarks on bank competition and convergence dynamics
Tsionas, Efthymios G., (2020)
- More ...