This paper presents a method for estimation and test of firm-specific scale efficiency using data envelopment analysis (DEA). The use of a simple bootstrap algorithm is proposed to perform firm-specific inference for scale efficiency. An empirical application using Swedish hospital data is...

This paper presents a bootstrap approach to calculate confidence intervals for firm-specific Malmquist productivity indices obtained from data envelopment analysis (DEA) models. The bootstrap is easily implemented and allows identification of production units that have significant productivity...

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...

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 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...

This paper presents and applies different approaches to estimate returns to scale in multiple-input multiple-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 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 a Monte Carlo simulation study of the bootstrap algorithm proposed by Lothgren and Tambour for calculation of bootstrap confidence intervals for the firm-specific Data Envelopment Analysis (DEA) Malmquist productivity index. The simulation results indicate that the coverage...

This paper presents a primal-based approach for specification and estimation of multiple-output production frontiers that allows simultaneous identification and estimation of determinants of technical inefficiency. The proposed model extends the technical efficiency effects model by Battese and...