The purpose of this paper is to use the bootstrap resampling technique to calculate confidence intervals for efficiency measures and Malmquist productivity indices. The efficiency and productivity measures are obtained from non-parametric linear programming models using primal production data....

This paper presents and applies different approaches to estimate returns to scale in multiple-input muliple-output technologies. Scale efficiency gives quantitative information of scale characteristics. A primal based approach to estimate the scale elasticity is proposed as an alternative to the...

A relatively new approach to measure health status is to use non-parametric frontier methods, based on index and production theory. The purpose of this study is to construct and investigate some properties of a non-parametric health status index. The index is based on a non-radial efficiency...

This paper has two purposes. The first purpose is methodological and aims to extend previous work on efficiency analysis by implementing a multiple-output stochastic ray frontier production function model. This model generalizes the single-output stochastic frontier model to multiple-input,...

This paper presents a network model incorporating customer satisfaction into efficiency and productivity measures. The network consists of a production node and a consumption node and offers flexibility in modelling the production and consumption process. Allocation of input resources to...

No consensus has yet been reached on how to analyse uncertainty in economic evaluation studies where individual patient data are available for costs and health effects. This paper summarises the available results regarding the analysis of uncertainty on the cost-effectiveness plane and argues...