The purpose of the paper is to provide new information on the performance of frontier estimation methods, using data from Italian hotel industry. Quantile regression is also suggested as solution to frontier production function estimation. It is shown that, while the choice of estimation methods among conventional techniques significantly affects the economic analysis, quantile regression provides valuable new information by estimating the whole spectrum of production functions corresponding to different efficiency levels. In addition, the method makes available a coherent framework to analyze the performance of the conventional techiniques. Copyright Springer-Verlag 2004Production function, stochastic frontier model, semiparametric frontie...
The stochastic frontier model was first proposed in the context of production function estimation to...
A rich theory of production and analysis of productive efficiency has developed since pioneering wor...
Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimat...
The purpose of the paper is to provide new information on the performance of frontier estimation me...
In chapter 3, quantile regression is used to estimate probabilistic frontiers, i.e. frontiers based...
In this thesis, I focus on the nonparametric estimation of the profit frontier, a topic which has be...
Graduation date: 2009Recently, in an attempt to produce robust production frontier estimators, Arago...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
In this paper, based on Jradi and Ruggiero (2019). Stochastic Data Envelopment Analysis: A Quantile ...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
This article is concerned with the methodological question of frontier production functions estimati...
The main objective of the paper is to present a general framework for estimating production frontier...
Quantile regression models are examined from the standpoint of their suitability to analyse company ...
Conventional econometric analysis in the field of production economics generally as-sumes that all p...
A guide to the implementation and interpretation of Quantile Regression models. This book explores t...
The stochastic frontier model was first proposed in the context of production function estimation to...
A rich theory of production and analysis of productive efficiency has developed since pioneering wor...
Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimat...
The purpose of the paper is to provide new information on the performance of frontier estimation me...
In chapter 3, quantile regression is used to estimate probabilistic frontiers, i.e. frontiers based...
In this thesis, I focus on the nonparametric estimation of the profit frontier, a topic which has be...
Graduation date: 2009Recently, in an attempt to produce robust production frontier estimators, Arago...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
In this paper, based on Jradi and Ruggiero (2019). Stochastic Data Envelopment Analysis: A Quantile ...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
This article is concerned with the methodological question of frontier production functions estimati...
The main objective of the paper is to present a general framework for estimating production frontier...
Quantile regression models are examined from the standpoint of their suitability to analyse company ...
Conventional econometric analysis in the field of production economics generally as-sumes that all p...
A guide to the implementation and interpretation of Quantile Regression models. This book explores t...
The stochastic frontier model was first proposed in the context of production function estimation to...
A rich theory of production and analysis of productive efficiency has developed since pioneering wor...
Monte Carlo methods examine the accuracy of several production frontier approximating forms, estimat...