1982
DOI: 10.1016/0305-0483(82)90019-6
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Evaluating the administrative efficiency of courts

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Cited by 235 publications
(112 citation statements)
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“…Such specification can be a challenge in this context and a nonparametric technique can be preferable. The advantages of using DEA to assess the efficiency of judicial entities, comparative to other methods, have also been discussed [32].…”
Section: Dea and Its Use To Assess The Efficiency Of Courtsmentioning
confidence: 99%
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“…Such specification can be a challenge in this context and a nonparametric technique can be preferable. The advantages of using DEA to assess the efficiency of judicial entities, comparative to other methods, have also been discussed [32].…”
Section: Dea and Its Use To Assess The Efficiency Of Courtsmentioning
confidence: 99%
“…The pioneering work on the use of DEA in this area is that of Lewin et al [32], which analyses the efficiency of 30 judicial districts in North Carolina, containing 100 criminal superior courts. The model adopted used two outputs (number of dispositions and number of cases pending less than 90 days) and five inputs; two of these inputs were controllable (days of court held and number of district attorneys and assistants) and the remaining three were exogenous and, therefore, non-controllable (size of the caseload, number of misdemeanours in the caseload and size of the white population).…”
Section: Dea and Its Use To Assess The Efficiency Of Courtsmentioning
confidence: 99%
See 1 more Smart Citation
“…Before we proceed with the application of the proposed DEA analysis with regressionbased feedback, we hereafter position our contribution with respect to the literature on variable selection in DEA. So far, such literature could be divided into (1) Judgemental Screening or Expert Opinions such as Fuzzy Delphi Method (Arsad et al 2017); (2) (Li et al 2017), Directional Technology Distance Function (Guarda et al 2013), Regression Analysis (Lewin et al 1982;Fanchon 2003;Ruggiero 2005;Luo et al 2012;Golany and Roll 1989); Decision Tree Analysis (Lim 2008;Jain et al 2016), and Genetic Algorithms (Madhanagopal and Chandrasekaran 2014). Our contribution falls into the subcategory of Regression Analysis; however, unlike previous contributions, ours use regression analysis within a feedback mechanism and allows for no-inputs or no-outputs situations.…”
Section: Formulation Descriptionmentioning
confidence: 99%
“…Techniques proposed include i) judgmental screening by experts, in order to indicate the most relevant variables for the DEA model (GOLANY; ROLL, 1989); ii) regression analysis, in order to indicate highly correlated variables as redundant (LEWIN;MOREY;COOK, 1982); iii) the application of DEA to reduced models, in order to rank the effect of variables on efficiency scores (WAGNER; SHIMSHAK, 2007); iv) the use of multi-criteria approaches for weighting variables (MIRANDA; ALMEIDA, 2004); and v) the addition of a virtual target into the sample to identify changes in the adherence of a given DMU to the frontier (BERECHMAN; ADLER, 1999).…”
Section: Literature Reviewmentioning
confidence: 99%