Markov switching stochastic frontier model

Authors: Tsionas, Efthymios G.¹; Kumbhakar, Subal C.²

Source: The Econometrics Journal, Volume 7, Number 2, December 2004 , pp. 398-425(28)

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Abstract:

Summary

In this paper, we propose a new approach to stochastic frontier models, viz., a Markov switching structure to accommodate cross-sectional parameter heterogeneity and temporal variation in the parameters and technical inefficiency distributions. The Markov Chain Monte Carlo techniques are developed and implemented for Bayesian inferences on parameters and technical efficiency. We illustrate new methods by estimating world production frontiers using international panel data on 59 countries observed for 26 years.

Keywords: Technical efficiency; Markov switching models; Markov Chain Monte Carlo; Panel data

Document Type: Research article

DOI: http://dx.doi.org/10.1111/j.1368-423X.2004.00137.x

Affiliations: 1: Department of Economics, Athens University of Economics and Business, 76 Patission Street, 104 34 Athens, Greece, Email: tsionas@aueb.gr 2: Department of Economics, State University of New York, Binghamton, NY 13902, Email: kkar@binghamton.edu

Publication date: 2004-12-01