Add to ORKGIn this paper we introduce technical efficiency via the intercept that evolve over time as a AR(1) process in a stochastic frontier (SF) framework in a panel data framework. Following are the distinguishing features of the model. First, the model is dynamic in nature. Second, it can separate technical inefficiency from fixed firm-specific effects which are not part of inefficiency. Third, the model allows one to estimate technical change separate from change in technical efficiency. We propose the ML method to estimate the parameters of the model. Finally, we derive expressions to calculate/predict technical inefficiency (efficiency)
The stochastic frontier model was first proposed in the context of production function estimation to...
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
International audienceThis article introduces a dynamic stochastic frontier analysis (SFA) framework...
In this paper we introduce technical efficiency via the intercept that evolve over time as a AR(1) p...
The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the...
This paper explores the framework and development of stochastic frontier Approach (SFA). The origina...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
Almost all the existing panel stochastic frontier models treat technical efficiency as static. Conse...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
This paper proposes a flexible stochastic cost frontier panel data model where the technology parame...
Cornwell, Schmidt, and Sickles (1990) and Kumbhakar (1990), among others, developed stochasticfronti...
This paper presents a new stochastic frontier (SF) model for panel data. The new model moves the SF ...
The main objective of the paper is to present a general framework for estimating production frontier...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
Stochastic frontier models with autocorrelated inefficiency have been proposed in the past as a way ...
The stochastic frontier model was first proposed in the context of production function estimation to...
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
International audienceThis article introduces a dynamic stochastic frontier analysis (SFA) framework...
In this paper we introduce technical efficiency via the intercept that evolve over time as a AR(1) p...
The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the...
This paper explores the framework and development of stochastic frontier Approach (SFA). The origina...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
Almost all the existing panel stochastic frontier models treat technical efficiency as static. Conse...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
This paper proposes a flexible stochastic cost frontier panel data model where the technology parame...
Cornwell, Schmidt, and Sickles (1990) and Kumbhakar (1990), among others, developed stochasticfronti...
This paper presents a new stochastic frontier (SF) model for panel data. The new model moves the SF ...
The main objective of the paper is to present a general framework for estimating production frontier...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
Stochastic frontier models with autocorrelated inefficiency have been proposed in the past as a way ...
The stochastic frontier model was first proposed in the context of production function estimation to...
This paper addresses some of the recent developments in efficiency measurement using stochastic fron...
International audienceThis article introduces a dynamic stochastic frontier analysis (SFA) framework...