Endogenous Inputs and Environmental Variables in Battese and Coelli's (1995) Stochastic Frontier Model

Stochastic Pollution and Environmental Care in an Endogenous Growth Model

The impact of pollution and abatement policy within a stochastic endogenous growth model is analyzed. Environmental care is provided by the government and financed through income taxation and government bonds. Due to environmental preferences and partial perception of the individual’s impact on pollution, government debt influences equilibrium growth. Hence, there is an additional growth effect...

Comparative Analysis of Stochastic Frontier Partially non-parametric and Stochastic Frontier Parametric Methods Case Study: Measuring Cost Efficiency in Wheat Production in Iran

Introducing environmental variables in nonparametric frontier models: A probabilistic approach

This paper proposes a general formulation of a nonparametric frontier model introducing external environmental factors that might influence the production process but are neither inputs nor outputs under the control of the producer. A representation is proposed in terms of a probabilistic model which defines the data generating process. Our approach extends the basic ideas from Cazals, Florens ...

A Laplace Stochastic Frontier Model

We propose a Laplace stochastic frontier model as an alternative to the traditional model with normal errors. An interesting feature of the Laplace model is that the distribution of inefficiency conditional on the composed error is constant for positive values of the composed error, but varies for negative values. Therefore, it may be ideally suited for analyzing industries with many forms on o...

A Method of Moments Estimator for a Stochastic Frontier Model with Errors in Variables

We propose a method of moment estimator for a stochastic frontier model in which one of the independent variables is measured with errors. The estimator requires only minimal distributional assumption on the measurement error, has no need for additional data, and is computationally inexpensive. A Monte Carlo study and an empirical example show favorable performances by this estimator. JEL Class...