In previous studies, measures of technical inefficiency derived from stochastic production frontiers have been estimated from residuals which are sensitive to specification errors. This study corrects for this inaccuracy by extending the doubly heteroscedastic stochastic cost frontier suggested...

Little attention has been given to the effects of functional form mis-specification on the estimation of stochastic frontier models and to the possibility of using backpropagation neural netwok as a flexible functional form to approximate the production or cost functions. This paper has two main...

Mikhail (1972a) found that estimated 2SLS biases, obtained through simulation using antithetic variables and control variate methods, were closer to each other than to Nagar's bias approximation to order T-1. As remarked by Kiviet and Phillips (1996), this result represents one of a very small...

This paper investigates whether there is any relationship between farm size, technical efficiency and the use of agrichemicals which are potentially environmentally contaminating. These questions are pertinent in the context of current EU policy decions. Using two models of stochastic frontier...

We show that the bias of estimated parameters in autoregressive models can increase as the sample size grows. This unusual result is due to the effect of the initial sample observations that are typically neglected in theoretical asymptotoc analysis, in spite of their empirical relevance....

We show that in a purely nonstationary Vector Autoregression (VAR), the biases of Maximum Likelihood and Least Squares Estimators are asymptotically proportional to the dimension of the system, even when the equations and regressors are generated independantly of each other. When some stable...

This paper examines the consequences of housing rationing on the consumption behaviour of Chinese urban households in Jiangsu province during the years 1992-1993.

The economic and political instability of most of the Arab countries may lead to the assumption that Arab stock markets are riskier and less predictable than stock markets in developed countries. Value at Risk (VaR) measures risk exposure at a given probability level and is very important for...

This paper uses Monte Carlo experimentation to investigate the finite sample properties of the maximum likelihood (ML) estimators of the half-normal stochastic frontier production functions in the presence of heteroscedasticity. It is found that when heteroscedasticity exists correcting for it...