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Theory and statistical properties of Quantile Data Envelopment Analysis

Atwood, Joseph A.; Shaik, Saleem - In: European journal of operational research : EJOR 286 (2020) 2, pp. 649-661

Persistent link: https://www.econbiz.de/10012291554

Quantile DEA : estimating qDEA-alpha efficiency estimates with conventional linear programming

Atwood, Joseph A.; Shaik, Saleem - In: Productivity and Inequality, (pp. 305-326). 2018

Persistent link: https://www.econbiz.de/10013357183

Measuring fishing capacity using quantile data envelopment analysis

Walden, John B.; Atwood, Joseph A. - In: Marine resource economics 38 (2023) 3, pp. 229-247

Persistent link: https://www.econbiz.de/10014317286

Agricultural and nonagricultural bank productivity : a DEA approach

Dias, Weeratilake; Helmers, Glenn A. - In: Agricultural finance review 61 (2001) 1, pp. 1-18

Persistent link: https://www.econbiz.de/10001767882

Crop insurance adjusted panel data envelopment analysis efficiency measures

Shaik, Saleem - In: American journal of agricultural economics 95 (2013) 5, pp. 1166-1177

Persistent link: https://www.econbiz.de/10010204251

Cluster-adjusted DEA efficiency in the presence of heterogeneity : an application to banking sector

Sakouvogui, Kekoura; Shaik, Saleem; Addey, Kwame Asiam - In: Open economics 3 (2020) 1, pp. 50-69

This paper improves on the issues of extreme data points and heterogeneity found in the linear programming data envelopment analysis (DEA) by presenting a cluster-adjusted DEA model (DEA with cluster approach). This analysis, based on efficiency, determines the number of clusters via Gap...

Persistent link: https://www.econbiz.de/10012213369