A number of studies have explored the semiand nonparametric estimation of stochastic frontier models by using kernel regression or other nonparametric smoothing techniques. In contrast to popular deterministic nonparametric estimators, these approaches do not allow one to impose any shape constraints (or regularity conditions) on the frontier function. On the other hand, as many of the previous...

this study examines the responsible energy consumption of listed european hotels. hotel efficiency is estimated using a stochastic frontier analysis (sfa) production function, with supplies costs as the input and total revenue as the output. cluster analysis is used to group the hotels into homogeneous groups according to their efficiency level, size, or profitability. the results show that the...

The stochastic frontier model with heterogeneous technical efficiency explained by exogenous variables is augmented with a sparse spatial autoregressive component for a crosssection data, and a spatial-temporal component for a panel data. An estimation procedure that takes advantage of the additivity of the model is proposed, computational advantages over simultaneous maximum likelihood estimat...

In this paper we compare estimates of technical efficiency for a cross-section of Australian dairy farms using various frontier methodologies; Bayesian and Classical stochastic frontiers, and Data Envelopment Analysis. We find that our Bayesian stochastic frontier estimates, when we impose monotonicity and curvature restrictions at all data points, significantly impact on our parameter estimate...

Stochastic frontier models are typically estimated by maximum likelihood (MLE) orcorrected ordinary least squares. The consistency of either estimator depends on exogeneity of the explanatory variables (inputs, in the production frontier setting). We will investigate the case that one or more of the inputs is endogenous, in the simultaneous equation sense of endogeneity. That is, we worry that ...

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...

This paper simultaneously explores the determinants of the developing countries’ production frontier and their ‘efficiency’ in using the available resources and technology. In doing so it allows for the transfer of (industrial country) technology in determining the frontier and for international trade to influence absorptive capacity and national efficiency levels. Stochastic frontier analysis ...