Estimation of nonparametric inefficiency effects stochastic frontier models with an application to British manufacturing
The purpose of this paper is to propose a simple stochastic frontier model with a non-parametric specification for covariates affecting the mean of technical inefficiency. We derive a simple two-step semiparametric estimation procedure to estimate the frontier parameters as well as the mean of the technical inefficiency. The consistency of the estimator and its asymptotic normality are shown. The proposed method is illustrated using a large panel data set of British manufacturing firms.
Year of publication: |
2009
|
---|---|
Authors: | Tran, Kien C. ; Tsionas, Efthymios G. |
Published in: |
Economic Modelling. - Elsevier, ISSN 0264-9993. - Vol. 26.2009, 5, p. 904-909
|
Publisher: |
Elsevier |
Keywords: | Two-step semiparametric estimator Technical efficiency Marginal effects Local linear estimator |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Tran, Kien C., (2009)
-
Local GMM estimation of semiparametric panel data with smooth coefficient models
Tran, Kien C., (2010)
-
GMM estimation of stochastic frontier model with endogenous regressors
Tran, Kien C., (2013)
- More ...