We propose new diversification-consistent DEA models suitable for assessing efficiency of investment opportunities available on financial markets. The formulations based on directional distance measures enable to use several risk measures as inputs and return measures as outputs, which can take...

This paper describes a methodology that aims to enhance statistical inference in data envelopment analysis (DEA). In order to incorporate statistical properties in a DEA analysis we propose a combined application of a chance constrained DEA (CCDEA) model that is integrated with a stochastic...

This paper uses Monte Carlo Data Envelopment Analysis (Monte Carlo DEA) to evaluate the relative technical efficiency of small health care areas in probabilistic terms with respect to both mental health care as well as the efficiency of the whole system. Taking into account that the number of...

This paper presents a generalized framework to construct composite indicator, which can be used in static and dynamic analysis. By grouping DMUs (decision making units) first, the proposed approach is more flexible to derive weights for entities featuring diverse characteristics. A more neutral...

This paper assesses energy efficiency in Swedish industry. Using unique firm-level panel data covering the years 2001-2008, the efficiency estimates are obtained for firms in 14 industrial sectors by using data envelopment analysis (DEA). The analysis accounts for multi-output technologies where...

Each year, a part of the budget of the City of Prague is allocated among its city districts in the form of subsidies. The objective of the City of Prague is to find such a set of criteria and such a set of relative weights that estimate the expected cost of local public administration best. The...

This study uses data envelopment analysis (DEA) and a distance function approach to derive Malmquist productivity indexes for 113 English higher education institutions (HEIs) over the period 1996/97 to 2002/03. The analysis finds that over the period of the study HEIs have experienced an annual...

This study uses data envelopment analysis (DEA) to examine the relative efficiency of over 100 selected Chinese regular universities. Various models are developed to measure the research efficiency of these higher education institutions (HEIs) using data for 2003 and 2004. The findings show that...

Data envelopment analysis (DEA) and multilevel modelling (MLM) are applied to a data set of 54578 graduates from UK universities in 1993 in order to assess the teaching performance of universities. A methodology developed by Thanassoulis & Portela (2002) allows each individual's DEA efficiency...

Data envelopment analysis (DEA) is applied to 2568 graduates from UK universities in 1993 in order to assess teaching efficiency. Following a methodology developed by Thanassoulis & Portela (2002), each individual s efficiency is decomposed into two components: one attributable to the university...