We analyze a dataset containing costs and outputs of 67 American local exchange carriers in a period of 11 years. This data has been used to judge the efficiency of BT and KPN using static stochastic frontier models. We show that these models are dynamically misspecified. As an alternative we provide an efficiency correction model. This model makes it possible to distinguish between unmeasured firm heterogeneity, firm inefficiency and measurement error, by assuming time invariant unmeasured firm heterogeneity and firm efficiency evolving over time. Keywords: Error Correction; Panel Data; Stochastic Frontier JEL Classification: C23, D
In this paper we estimate the frontier and time variant technical efficiency fully nonparametrically...
The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the...
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 ...
This paper deals with the estimation of efficiency in a panel data framework. A oneway error compone...
Efficiency estimation in stochastic frontier models typically assumes that the underlying production...
This paper examines the performance of several panel data models to measure cost and scale efficienc...
This paper presents a new stochastic frontier (SF) model for panel data. The new model moves the SF ...
Estimates of technical inefficiency based on fixed effects estimation of the stochastic frontier mod...
This paper considers a panel data stochastic frontier model that disentangles unobserved firm effect...
In this paper we introduce technical efficiency via the intercept that evolve over time as a AR(1) p...
The paper analyzes a number of competing approaches to modeling efficiency in panel studies. The spe...
The stochastic frontier analysis (Aigner et al. [1] and Meeusen and van den Broeck [8]) has been wid...
In this paper we estimate the frontier and time variant technical efficiency fully nonparametrically...
This paper proposes a stochastic frontier panel data model which includes time-invariant unobserved ...
In this paper we estimate the frontier and time variant technical efficiency fully nonparametrically...
The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the...
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 ...
This paper deals with the estimation of efficiency in a panel data framework. A oneway error compone...
Efficiency estimation in stochastic frontier models typically assumes that the underlying production...
This paper examines the performance of several panel data models to measure cost and scale efficienc...
This paper presents a new stochastic frontier (SF) model for panel data. The new model moves the SF ...
Estimates of technical inefficiency based on fixed effects estimation of the stochastic frontier mod...
This paper considers a panel data stochastic frontier model that disentangles unobserved firm effect...
In this paper we introduce technical efficiency via the intercept that evolve over time as a AR(1) p...
The paper analyzes a number of competing approaches to modeling efficiency in panel studies. The spe...
The stochastic frontier analysis (Aigner et al. [1] and Meeusen and van den Broeck [8]) has been wid...
In this paper we estimate the frontier and time variant technical efficiency fully nonparametrically...
This paper proposes a stochastic frontier panel data model which includes time-invariant unobserved ...
In this paper we estimate the frontier and time variant technical efficiency fully nonparametrically...
The purpose of this paper is to construct a dynamic stochastic production frontier incorporating the...
This paper proposes a stochastic frontier model which includes time-invariant unobserved heterogenei...