A generalized inefficiency model with input and output dependence

被引:4
|
作者
Tsionas, Mike G. [1 ,2 ]
机构
[1] Montpellier Business Sch, Montpellier LA1 4YX, England
[2] Univ Lancaster, Management Sch, Lancaster LA1 4YX, England
关键词
Productivity and competitiveness; Adjustment costs; Statistical endogeneity; Maximum Simulated Likelihood; UNDESIRABLE OUTPUTS; DISTANCE FUNCTION; US BANKS; EFFICIENCIES; COST;
D O I
10.1016/j.ejor.2023.06.029
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper we propose a general inefficiency model, in the sense that technical inefficiency is, simul-taneously, a function of all inputs, outputs, and contextual variables. We recognize that change in in-efficiency is endogenous or rational, and we propose an adjustment costs model with firm-specific but unknown adjustment cost parameters. When inefficiency depends on inputs and outputs, the firm's opti-mization problem changes as the first order conditions must take into account the dependence of ineffi-ciency on the endogenous variables of the problem. The new formulation introduces statistical challenges which are successfully resolved. The model is estimated using Maximum Simulated Likelihood and an empirical application to U.S. banking is provided.& COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
引用
收藏
页码:315 / 323
页数:9
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