This paper aims to estimate a translog stochastic frontier production function in the analysis of a panel of 150 mixed Catalan farms in the period 1989-1993, in order to attempt to measure and explain variation in technical inefficiency scores with a one-stage approach. The model uses gross value added as the output aggregate measure. Total employment, fixed capital, current assets, specific co...

Parametric stochastic frontier models have a long history in applied production economics, but the class of tractible parametric models is relatively small. Consequently, researchers have recently considered non–parametric alternatives such as kernel density estimators, functional approximations, and data envelopment analysis (DEA). The purpose of this paper is to present an information theoret...

the study was conducted to indicate the determinants of technical efficiency of the dairy farmers in ada’a district of oromia state, ethiopia. the study was arranged in four purposively selected peasant associations of the peri-urban and four kebeles of the urban dairy production sub-systems from which thirty dairy farmers were selected randomly. a total of two hundred forty respondents were pe...

the paper attempts to study the efficiency of crop production and resource use effi-ciency on temple tenants and owner farms in tirunelveli district of tamil nadu. a sam-ple of 90 temple tenants and 50 owner farmers from two taluks of tirunelveli district, nawely, shencottah and tenkasi were selected for the study. the reference period of the study was 2002-2003. the efficiency analysis with th...

Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software. General code for cross-sectional and panel data are presented and various ways of summarizing posterior inference are discussed. Several examples illustrate that ...

The field of productive efficiency analysis is currently divided between two main paradigms: the deterministic, nonparametric Data Envelopment Analysis (DEA) and the parametric Stochastic Frontier Analysis (SFA). This paper examines an encompassing semiparametric frontier model that combines the DEA-type nonparametric frontier, which satisfies monotonicity and concavity, with the SFA-style stoc...