Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency
Federico Belotti (),
Giuseppe Ilardi and
Andrea Piano Mortari ()
No 459, CEIS Research Paper from Tor Vergata University, CEIS
This paper proposes a stochastic frontier panel data model in which unit-specific inefficiencies are spatially correlated. In particular, this model has simultaneously three important features: i) the total inefficiency of a productive unit depends on its own inefficiency and on the inefficiency of its neighbors; ii) the spatially correlated and time varying inefficiency is disentangled from time invariant unobserved heterogeneity in a panel data model à la Greene (2005); iii) systematic differences in inefficiency can be explained using exogenous determinants. We propose to estimate both the "true" fixed- and random-effects variants of the model using a feasible simulated composite maximum likelihood approach. The finite sample behavior of the proposed estimators are investigated through a set of Monte Carlo experiments. Our simulation results suggest that the estimation approach is consistent, showing good finite sample properties especially in small samples.
Keywords: Stochastic frontiers model; Spatial inefficiency; Panel data, Fixed-effects model (search for similar items in EconPapers)
JEL-codes: C13 C15 C23 (search for similar items in EconPapers)
Pages: 32 pages
Date: 2019-05-30, Revised 2019-05-30
New Economics Papers: this item is included in nep-ecm, nep-eff and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
https://ceistorvergata.it/RePEc/rpaper/RP459.pdf Main text (application/pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:rtv:ceisrp:459
Ordering information: This working paper can be ordered from
CEIS - Centre for Economic and International Studies - Faculty of Economics - University of Rome "Tor Vergata" - Via Columbia, 2 00133 Roma
Access Statistics for this paper
More papers in CEIS Research Paper from Tor Vergata University, CEIS CEIS - Centre for Economic and International Studies - Faculty of Economics - University of Rome "Tor Vergata" - Via Columbia, 2 00133 Roma. Contact information at EDIRC.
Bibliographic data for series maintained by Barbara Piazzi ().