Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimators and methods to rank firms by level of predicted technical efficiency. Results show stochastic frontier methods superior to data envelopment analysis. The Cobb-Douglas approximating form is superior to the translog or generalized Leontief
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
This thesis is concerned with the specification, estimation, application and testing of stochastic f...
Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimat...
Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimat...
In recent years a number of alternative methods have been proposed with which to measure technical e...
Estimating the stochastic frontier model and calculating technical efficiency of decision making uni...
Parametric stochastic frontier models yield firm-level conditional distributions of inefficiency tha...
This paper highlights the sensitivity of technical efficiency estimates to estimation approaches usi...
This paper highlights the sensitivity of technical efficiency estimates to estimation approaches usi...
The main objective of the paper is to present a general framework for estimating production frontier...
Parametric stochastic frontier models yield firm-level conditional distributions of inefficiency tha...
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
ii Pursuing efficiency is a fundamental characteristic of economic activity. correspondingly, effici...
Conventional econometric analysis in the field of production economics generally as-sumes that all p...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
This thesis is concerned with the specification, estimation, application and testing of stochastic f...
Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimat...
Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimat...
In recent years a number of alternative methods have been proposed with which to measure technical e...
Estimating the stochastic frontier model and calculating technical efficiency of decision making uni...
Parametric stochastic frontier models yield firm-level conditional distributions of inefficiency tha...
This paper highlights the sensitivity of technical efficiency estimates to estimation approaches usi...
This paper highlights the sensitivity of technical efficiency estimates to estimation approaches usi...
The main objective of the paper is to present a general framework for estimating production frontier...
Parametric stochastic frontier models yield firm-level conditional distributions of inefficiency tha...
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
ii Pursuing efficiency is a fundamental characteristic of economic activity. correspondingly, effici...
Conventional econometric analysis in the field of production economics generally as-sumes that all p...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
This thesis is concerned with the specification, estimation, application and testing of stochastic f...