Titlebook: Data Envelopment Analysis; A Handbook of Empiri Joe Zhu Book 2016 Springer Science+Business Media New York 2016 DEA.DEA Models.Data Envelop

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Efficiency Persistence of Bank and Thrift CEOs Using Data Envelopment Analysis,rmance of CEOs on a yearly basis over the 1997–2004 period, and find evidence that best-practice CEOs who have a DEA efficiency score of one are rewarded with higher compensation compared to under-performing CEOs who have a DEA efficiency score greater than one. We find DEA efficiency score to be a

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Total-Factor Energy Efficiency and Its Extensions: Introduction, Computation and Application,, QFI, SBM, DF, and DDF models. The TFEE is a disaggregate input efficiency index. Moreover, the TFEE framework which uses cross-section data can be extended to the total-factor energy productivity (TFEP) growth index by following Malmquist, Leunberger, and Malmquist-Leunberger models which use pane

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DEA Applications to Major League Baseball: Evaluating Manager and Team Efficiencies,led applications to Major League Baseball. The first application presents a DEA model which evaluates the efficiency of Major League Baseball managers. This application calculates the output oriented technical efficiencies and super efficiencies for managers from 1986 to 2011. The model assumes that

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Mutual Fund Industry Performance: A Network Data Envelopment Analysis Approach,econd, we present a two-stage DEA model that decomposes the overall efficiency of a decision-making unit into two components and demonstrate its applicability by assessing the relative performance of 66 large mutual fund families in the US over the period 1993–2008. By decomposing the overall effici

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