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Consistent Estimation of the “True” Fixed-effects Stochastic Frontier Model

Federico Belotti () and Giuseppe Ilardi

No 231, CEIS Research Paper from Tor Vergata University, CEIS

Abstract: The classic stochastic frontier panel data models provide no mechanism to disentangle individual time invariant unobserved heterogeneity from inefficiency. Greene (2005a,b) proposed a fixed-effects model specification that distinguishes these two latent components and allows a time varying inefficiency distribution. However, the maximum likelihood estimator proposed by Greene leads to biased inefficiency estimates due to the incidental parameters problem. In this paper, we propose two alternative estimation procedures that, by relying on a first difference data transformation, achieve consistency for n goes to infinity with fixed T. Evidence from Monte Carlo simulations shows good finite sample performances of both approaches even in presence of small samples.

Keywords: Stochastic frontiers; Fixed-effects; Panel data; Marginal simulated likelihood; Pairwise differencing (search for similar items in EconPapers)
JEL-codes: C13 C16 C23 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2012-04-18, Revised 2012-04-18
New Economics Papers: this item is included in nep-ecm, nep-eff and nep-ore
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