Results 211 to 220 of about 86,915 (261)

Sensitivity analysis of stochastic frontier analysis models

Monte Carlo Methods and Applications, 2021
Abstract The efficiency measures of the Stochastic Frontier Analysis (SFA) models are dependent on distributional assumptions of the one-sided error or inefficiency term. Given the intent of earlier researchers in the evaluation of a single inefficiency distribution using Monte Carlo (MC) simulation, much attention has not been paid to ...
Kekoura Sakouvogui   +3 more
openaire   +2 more sources

Stochastic Frontier Analysis

2000
Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions.
Kumbhakar, Subal C., Lovell, C.A. Knox
openaire   +3 more sources

Stochastic Frontier Analysis: Foundations and Advances II

2020
This chapter (as well as Chap. 11) reviews some of the most important developments in the econometric estimation of productivity and efficiency surrounding the stochastic frontier model.
Kumbhakar, Subal C.   +2 more
openaire   +4 more sources

Stochastic Frontier Analysis with Maximum Entropy Estimation

2023
Maximum entropy in the estimation of parameters in stochastic production frontier models could be an attractive procedure in economic efficiency analysis. In this work, the generalized maximum entropy and the generalized cross entropy estimators are reviewed and their implementation in the stochastic frontier analysis is discussed.
Macedo, Pedro   +2 more
openaire   +2 more sources

Bounded rationality and thick frontiers in stochastic frontier analysis

European Journal of Operational Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Stochastic Frontier Analysis SFA

2010
As explained in Chap. 1, there are two dominant approaches to modern benchmarking. One is the non-parametric, deterministic DEA approach discussed in some detail in the last three chapters; other is the stochastic frontier analysis (SFA), which we will cover in this and the next chapter.
Peter Bogetoft, Lars Otto
openaire   +1 more source

A microfoundation for stochastic frontier analysis

Economics Letters, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

A Review of: “Stochastic Frontier Analysis”

Econometric Reviews, 2005
Stochastic Frontier Analysis by Subal Kumbhakar and C. A. Knox Lovell (Cambridge: Cambridge University Press, 2000).
openaire   +1 more source

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