Comparison Between Data Envelopment Analysis Models with Penalties

Petra Zýková
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Petra Zýková: Department of Econometrics, Faculty of Informatics and Statistics, University of Economics, Prague, W. Churchill Sq. 4, 13067 Praha 3, Czech Republic

Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2019, vol. 67, issue 6, 1665-1669

Abstract: The paper deals with Data Envelopment Analysis (DEA) models with advanced voting systems for ranking of candidates with penalties. The main aims of the system are to find a general winner and ranking of all candidates. Every voter gives the ranking of the first t-candidates and can give penalties to candidates who he/she surely does not want to vote for. Advanced voting systems are being used based on the use of data envelopment analysis models. The original contribution of the paper consists in the formulation of a new DEA/AR model with penalties. This model is derived from the DEA/AR model with penalties. The proposed models are illustrated on a simulated data set. This paper aims to compare DEA models with penalties.

Keywords: data envelopment analysis; voting systems; penalty (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:mup:actaun:actaun_2019067061665

DOI: 10.11118/actaun201967061665

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