Efficiency in the mutual fund (MF), is one of the issues that has attracted many investors in countries with advanced financial market for many years. Due to the need for frequent study of MF’s efficiency in short-term periods, investors need a method that not only has high accuracy, but also high speed. Data envelopment analysis (DEA) is proven to be one of the most widely used methods in the ...

Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decisionmaking units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. This research proposes a methodology to determine one common set of weights for the performance indices of only DEA efficient DMUs. Then, these DMUs ar...

Data Envelopment Analysis (DEA) is used to measure the relative efficiency of the fourteen police precincts in Taipei city, Taiwan. Our results indicate how DEA may be used to measure these police precincts from commonly available police statistical data for the years 1994, 1995, and 1996. To sharpen our efficiency estimates, we use window analysis, slack variable analysis, and output-oriented ...

Copyright 2005 by Helena Johansson. All rights reserved. Readers may make verbatim copies of this document for non-commercial purposes by any means, provided that this copyright notice appears on all such copies. Abstract Technical, allocative, and economic input efficiency scores were estimated for an unbalanced panel of Swedish dairy farms, using data envelopment analysis (DEA) and the stocha...

The purpose of this study is to present a complementary modeling approach using data envelopment analysis (DEA) and artificial neural network (ANN) as an adaptive decision support tool in promoting best performance benchmarking and performance modeling. DEA and ANN are combined to take advantages of optimization and prediction capabilities inherent in each method. DEA is used as a preprocessor ...

In order to evaluate the performance of the enterprise effectively and reasonably, a performance evaluation model is proposed based on optimized DEA algorithm with decision making units. First, a second goal is set on the basis of classic DEA algorithm, and the only public weight is further determined to make the minimizing sum of changes between the efficiency of public weights and the classic...

The study presents an empirical analysis of best practice production and cost frontiers for a sample of 94 acute care hospitals by applying Data Envelopment Analysis (DEA) and a regression model, in a two-stage approach. This paper contributes to the DEA and efficiency measurement literatures by adding results from a homogeneous method of partitioning cost efficiency into its allocative (or pri...

This paper aims to offer an advanced assessment methodology for sustainable national energy-environment-economic efficiency strategies, based on an extended Data Envelopment Analysis (DEA). The use of novel efficiency-improving approaches based on DEA originates from the so-called Distance Friction Minimisation (DFM) method. To design a feasible improvement strategy for low-efficiency DMUs, we ...

The weight is one of the main issues of Data Envelopment Analysis (DEA), and relevant theoretical research indicates that many DEA mathematical models include redundant restraints on weight, resulting in underestimated efficiency, pseudo inefficiency, and difficulty in representing specific Input/Output relationships. This study proposes a context-dependent DEA-R model to address shortcomings r...

One of the main problems in efficiency analysis is to determinate the environmental variables that have an impact on the production process. This paper shows that applying bootstrap to data envelopment analysis (DEA) before performing classification and regression trees (CART) increase the quality of the results. In particular, employing data on the Italian Health System, the paper highlights t...