this paper is concerned with the estimation of frontier production function to measure the technical efficiency for iranian textile companies during 1995. the objective of this estimation is to investigate if there are any differences in the technical efficiency between the private and public firms as well as the relationship between technical efficiency and size of textile companies in iran. a...

efficiency in agricultural production is indicative of the efficiency level of farm households in their farming activities. farmers in developing countries do not make use of all the potential technological resources, thus making inefficient decisions in their agricultural activities. herein, technical efficiency in relation with the production of three types of rice crop (boro, aus and aman) w...

the technical efficiency involved in cocoa production in cross river state was estimated using the stochastic frontier production function analysis. the effects of some selected socio- economic characteristics of the farmers on the efficiency indices were also estimated. the study relied upon primary data generated from interviewing cocoa farmers using a set of structured questionnaire. a multi...

1 This paper presents an empirical comparison of the following approaches to estimate annual 2 mileage budgets for multiple discrete-continuous extreme value (MDCEV) models of household 3 vehicle ownership and utilization: (1) The log-linear regression approach to model observed total 4 annual household vehicle miles traveled (AH-VMT), (2) The stochastic frontier regression 5 approach to model ...

Received analyses based on stochastic frontier modeling with panel data have relied primarily on results from traditional linear fixed and random effects models. This paper examines extensions of these models that circumvent two important shortcomings of the existing fixed and random effects approaches. The conventional panel data stochastic frontier estimators both assume that technical or cos...

In the standard stochastic frontier model with sample selection, the two components of the error term are assumed to be independent, and the joint distribution of the unobservable in the selection equation and the symmetric error term in the stochastic frontier equation is assumed to be bivariate normal. In this paper, we relax these assumptions by using two copula functions to model the depend...