Holger Scheel's

Data Envelopment Analysis (DEA)

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Welcome! Data Envelopment Analysis (DEA) is a family of methods for efficiency measurement. This page contains some software related links, datasets, and information about my research. For general information about DEA you may have a look at the following DEA WWW pages:
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My DEA Research
 
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Commercial Software
 
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Free Software
 
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DEA Dataset Collection Most files are textfiles in EMS - format.

Dataset Reference Source
BANKER1 R.D. Banker, R.C. Morey, The use of categorical variables in Data Envelopment Analysis, Management Science 32 (1986) PARN
BEASLEY1 J.E. Beasley, Comparing university departments, Omega 18 (1990), 171-183 author
BEASLEY2 J.E. Beasley, Comparing university departments, Omega 18 (1990), 171-183 author
CHARNES1 A. Charnes, W.W.Cooper, E. Rhodes, Evaluating Program an Managerial Efficiency, Management Science 27 (1981), 668-697 (the 49 PFT DMUs)  
DYSON1 R.G. Dyson, E. Thanassoulis, Reducing weight flexibility in Data Envelopment Analysis, J. Op. Res. Soc. 39 (1988), 563-576. J.E. Beasley's library
PARKAN1 C. Parkan, Performance measurement in government services Department of Management Sciences, City University of Hong Kong, 1998 author
PARKAN2 C. Parkan, Performance measurement in government services Department of Management Sciences, City University of Hong Kong, 1998 author
PARKAN3 C. Parkan, M.-L. Wu, Measuring the effect of a new point-of-sale system on the performance of drugstore operations, Department of Management Sciences, City University of Hong Kong, 1998 author
PARKAN4 C. Parkan, M.-L. Wu, Measuring the performance of operations of Hong Kong's manufacturing industries, forthcoming in EJOR. author
SCHEEL1 H. Scheel, On Continuity of the BCC efficiency measure, Working Paper, University of Dortmund, 1998. author
SCHEEL2 H. Scheel, Undesirable outputs in efficiency valuations, Working Paper, University of Dortmund, 1998. author
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