Further results on estimating inefficiency effects in stochastic frontier models

被引:10
作者
Tsionas, Mike G. [1 ]
Mamatzakis, Emmanuel [2 ]
机构
[1] Univ Lancaster, Management Sch, Lancaster LA1 4YX, England
[2] Univ Sussex, Dept Accounting & Finance, Business Sch, Falmer BN1 9SL, England
关键词
Decision Processes; Stochastic frontier; Technical efficiency; Artificial neural networks; Generalized Method of Moments;
D O I
10.1016/j.ejor.2018.12.012
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Paul and Shankar [Satya Paul, Sriram Shankar, On Estimating Efficiency Effects in a Stochastic Frontier Model, European Journal of Operational Research (2018)] proposed an inefficiency effects stochastic frontier model which is easy to implement and avoids some of the difficulties of existing models. Unfortunately, the model has the restrictive feature that the ratio of the inefficiency effects of any two environmental variables remains fixed independently of the values of the variables. We modify the model so that this restriction can be avoided. Moreover, we provide a substantive extension of the model under quite general endogeneity assumptions. In turn, the model can be estimated using the Generalized Method of Moments technique allowing identification of efficiency estimates and inefficiency effects. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:1157 / 1164
页数:8
相关论文
共 13 条
[1]   Panel data models with multiple time-varying individual effects [J].
Ahn, Seung C. ;
Lee, Young H. ;
Schmidt, Peter .
JOURNAL OF ECONOMETRICS, 2013, 174 (01) :1-14
[2]   PANEL DATA MODELS WITH INTERACTIVE FIXED EFFECTS [J].
Bai, Jushan .
ECONOMETRICA, 2009, 77 (04) :1229-1279
[3]   An MCMC approach to classical estimation [J].
Chernozhukov, V ;
Hong, H .
JOURNAL OF ECONOMETRICS, 2003, 115 (02) :293-346
[4]   Marginal likelihood from the Gibbs output [J].
Chib, S .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1995, 90 (432) :1313-1321
[5]  
Coelli T.J., 1997, INTRO EFFICIENCY PRO
[6]   PRODUCTION FRONTIERS WITH CROSS-SECTIONAL AND TIME-SERIES VARIATION IN EFFICIENCY LEVELS [J].
CORNWELL, C ;
SCHMIDT, P ;
SICKLES, RC .
JOURNAL OF ECONOMETRICS, 1990, 46 (1-2) :185-200
[7]  
DEPRINS D, 1989, ANN EC STAT, V14, P117
[8]   MULTILAYER FEEDFORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS [J].
HORNIK, K ;
STINCHCOMBE, M ;
WHITE, H .
NEURAL NETWORKS, 1989, 2 (05) :359-366
[9]   A NEW PANEL DATA TREATMENT FOR HETEROGENEITY IN TIME TRENDS [J].
Kneip, Alois ;
Sickles, Robin C. ;
Song, Wonho .
ECONOMETRIC THEORY, 2012, 28 (03) :590-628
[10]  
Kumbhakar S, 2000, Stochastic frontier analysis