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 considers the semiparametric stochastic frontier model with panel data which arises in th...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
In this paper we introduce technical efficiency via the intercept that evolve over time as a AR(1) p...
Almost all the existing panel stochastic frontier models treat technical efficiency as static. Conse...
The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the...
Stochastic frontier models with autocorrelated inefficiency have been proposed in the past as a way ...
This paper explores the framework and development of stochastic frontier Approach (SFA). The origina...
The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the...
In this paper we propose some alternative formulations and estimation of technical and allocative in...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
Neoclassical economics assume that producers in an economy always operate efficiently, however in re...
The paper discusses technical efficiency analysis of italian rail terminals for a panel data from 20...
This paper proposes a stochastic frontier panel data model which includes time-invariant unobserved ...
Cornwell, Schmidt, and Sickles (1990) and Kumbhakar (1990), among others, developed stochasticfronti...
The stochastic frontier model was first proposed in the context of production function estimation to...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...
In this paper we introduce technical efficiency via the intercept that evolve over time as a AR(1) p...
Almost all the existing panel stochastic frontier models treat technical efficiency as static. Conse...
The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the...
Stochastic frontier models with autocorrelated inefficiency have been proposed in the past as a way ...
This paper explores the framework and development of stochastic frontier Approach (SFA). The origina...
The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the...
In this paper we propose some alternative formulations and estimation of technical and allocative in...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...
Neoclassical economics assume that producers in an economy always operate efficiently, however in re...
The paper discusses technical efficiency analysis of italian rail terminals for a panel data from 20...
This paper proposes a stochastic frontier panel data model which includes time-invariant unobserved ...
Cornwell, Schmidt, and Sickles (1990) and Kumbhakar (1990), among others, developed stochasticfronti...
The stochastic frontier model was first proposed in the context of production function estimation to...
This paper considers the semiparametric stochastic frontier model with panel data which arises in th...
This article considers the semiparametric stochastic frontier model with panel data that arises in t...