Efficient semiparametric estimation in stochastic frontier model
Byeong Park and
Leopold Simar ()
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Byeong Park: CORE and Institut of Statistics, Université catholique de Louvain, B-1348 Louvain-la-Neuve, Belgium
No 1992013, CORE Discussion Papers from Université catholique de Louvain, Center for Operations Research and Econometrics (CORE)
This paper considers the semiparametric stochastic frontier model with panel data which arises in the problem of measuring technical inefficiency in production processes. We assume a parametric form for the frontier function, which is linear in production inputs. The density of the individual firm-specific effects is considered unknown. We construct an efficient estimator of the slope parameters in the frontier function . We also give an estimator of the level of the frontier function and its asymptotic properties are investigated. Furthermore, we provide a predictor of the individual effects which can be directly translated to firm-specific technical inefficiencies. Finally, we illustrate our methods through a real data example.
Keywords: Stochastic frontier model; semiparametric model; efficient estimation; information bound; panel data (search for similar items in EconPapers)
JEL-codes: G20 (search for similar items in EconPapers)
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Working Paper: Efficient semiparametric estimation in a stochastic frontier model (1994)
Working Paper: Efficient Semiparametric Estimation in Stochastic Frontier Model (1992)
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Persistent link: https://EconPapers.repec.org/RePEc:cor:louvco:1992013
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