1991
DOI: 10.2307/2527115
|View full text |Cite
|
Sign up to set email alerts
|

Systematic Departures from the Frontier: A Framework for the Analysis of Firm Inefficiency

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
273
0
11

Year Published

1998
1998
2017
2017

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 496 publications
(284 citation statements)
references
References 6 publications
0
273
0
11
Order By: Relevance
“…However, this approach is inconsistent in its distributional assumptions: in the first stage, the efficiency effects are required to be independently and identically distributed (Jondrow et al 1982), whereas in the second stage they are assumed to be a function of firm-specific factors, which implies that they are not identically distributed. Kumbhakar et al (1991) and Reifschneider and Stevenson (1991) noted this inconsistency and specified Stochastic Frontier models in which the inefficiency effects were defined to be explicit functions of firm-specific factors, and all parameters were estimated in a single-stage ML procedure. Battese and Coelli (1995) extended this approach to accommodate panel data.…”
Section: Model Estimation Strategymentioning
confidence: 99%
“…However, this approach is inconsistent in its distributional assumptions: in the first stage, the efficiency effects are required to be independently and identically distributed (Jondrow et al 1982), whereas in the second stage they are assumed to be a function of firm-specific factors, which implies that they are not identically distributed. Kumbhakar et al (1991) and Reifschneider and Stevenson (1991) noted this inconsistency and specified Stochastic Frontier models in which the inefficiency effects were defined to be explicit functions of firm-specific factors, and all parameters were estimated in a single-stage ML procedure. Battese and Coelli (1995) extended this approach to accommodate panel data.…”
Section: Model Estimation Strategymentioning
confidence: 99%
“…with a Tobit censored regression model) on the exogenous variables. However, as pointed out by Kumbhakar, Gosh and McGuckin (1991) and Reifenschneider and Stevenson (1991) there are serious econometric problems with this approach. First, it must be assumed that the (in)efficiencies scores obtained in the first stage are independently and identically distributed, but if this is the case, the assumption that the (in)efficiency scores exhibit a functional relationship with the exogenous variables in the second stage is contradicted.…”
Section: Estimation Approachmentioning
confidence: 99%
“…To avoid (at least one of) theses inconsistencies Kumbhakar et al (1991), Reifenschneider andStevenson (1991) and Huang and Liu (1994) developed models for the technical inefficiency effects involved in stochastic frontier functions. In such one-step approaches the parameters of the stochastic frontier as well as the parameters of the exogenous variables are estimated simultaneously.…”
Section: Estimation Approachmentioning
confidence: 99%
“…This is usually referred as a two-stage procedure. However, several economists have criticized the two stage procedure (Battese et al, 1989;Reifschneider and Stevenson, 1991;Battese and Coelli, 1995) arguing that the socio-economic variables should be incorporated directly in to the estimation of production frontier model because such variables may have a direct influence on the production efficiency. To overcome inconsistencies in the assumptions regarding the independence of inefficiency effects (Battese and Coelli, 1995;Coelli, 1996) extended the stochastic production frontier model by suggesting that inefficiency effects (u i ) are expressed as an explicit function of a vector of farm specific variables and a random error.…”
Section: Methodsmentioning
confidence: 99%