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Inferring the Latent Incidence of Inefficiency from DEA Estimates and Bayesian Priors
Friesner, Daniel; Mittelhammer, Ron; Rosenman, Robert - School of Economic Sciences, Washington State University - 2006
Data envelopment analysis (DEA) is among the most popular empirical tools for measuring cost and productive efficiency. Because DEA is a linear programming technique, establishing formal statistical properties for outcomes is difficult. We show that the incidence of inefficiency within a...
Persistent link: https://www.econbiz.de/10005211987
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Bayesian DEA, the curse of diminesionality, and misclassified DMUs
Ünsal, Mehmet Güray; Friesner, Dan; Rosenman, Robert E. - 2017
Persistent link: https://www.econbiz.de/10011702760
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Inferring the incidence of industry inefficiency from DEA estimates
Friesner, Daniel; Mittelhammer, Ron; Rosenman, Robert - In: European Journal of Operational Research 224 (2013) 2, pp. 414-424
Data envelopment analysis (DEA) is among the most popular empirical tools for measuring cost and productive efficiency within an industry. Because DEA is a linear programming technique, establishing formal statistical properties for outcomes is difficult. We model the incidence of inefficiency...
Persistent link: https://www.econbiz.de/10010588346
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Inferring the Latent Incidence of Inefficiency from DEA Estimates and Bayesian Priors
Friesner, Daniel; Mittelhammer, Ron; Rosenmane, Robert - School of Economic Sciences, Washington State University - 2006
Data envelopment analysis (DEA) is among the most popular empirical tools for measuring cost and productive efficiency. Because DEA is a linear programming technique, establishing formal statistical properties for outcomes is difficult. We show that the incidence of inefficiency within a...
Persistent link: https://www.econbiz.de/10005727837