The challenge of the econometric problem in production efficiency analysis is that the very efficiency scores to be analyzed are unobserved. Recently, statistical properties have been discovered for a class of estimators popular in the literature, known as data envelopment analysis (DEA)...

In this note we investigate the power of significance test for dummy-variables in the context of Simar and Wilson (2003) two-stage efficiency analysis model.

This article analyses the technical efficiency of coffee production in Nicaragua. We apply a stochastic frontier model to estimate the technical efficiency which reaches 60%; this means that Nicaraguan coffee producers have chances to improve the way they get things done. This level of...

В статье основное внимание уделяется построению стохастического уравнения для расчета производственного цикла изготовления партии изделий на предприятиях с...

The method of calculating the duration of the production cycle for manufacturing a batch of parts is considered. The production cycle of manufacturing the batch of parts is one of the main characteristics of the production system. It is used to calculate the important indicators of planning the...

This paper investigates 53 public HEIs in Turkey between 2005 and 2010 including 5 full academic terms to estimate both their cost frontier and inefficiencies. The initial findings of six different models imply that Turkish universities perform quite well concerning their overall efficiency...

Sample selection problems are pervasive when working with micro economic models and datasets of individuals, households or firms. During the last three decades, there have been very significant developments in this area of econometrics. Different type of models have been proposed and used in...

The stochastic frontier model was first proposed in the context of production function estimation to account for the effect of technical inefficiency. The inefficiency causes actual output to fall below the potential level (that is, the production frontier) and also raises production cost above...

In this paper we propose a very flexible estimator in the context of truncated regression that does not require parametric assumptions. To do this, we adapt the theory of local maximum likelihood estimation. We provide the asymptotic results and illustrate the performance of our estimator on...

This paper empirically examines the relationship between fiscal decentralization and public sector efficiency. A country-level dataset is used to measure public sector efficiency in delivering education and health services and the new indices are regressed on well-established decentralization...