Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data-Reference-Cited by-同舟云学术

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Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data

Published:2021-01-11 Issue: Volume: Page:
ISSN:0927-7099
Container-title:Computational Economics
language:en
Short-container-title:Comput Econ

Author:

Bansal Pooja,Mehra Aparna,Kumar Sunil

Funder

Council of Scientific and Industrial research India

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10614-020-10071-9.pdf

Reference69 articles.

1. Akther, S., Fukuyama, H., & Weber, W. L. (2013). Estimating two-stage network slacks-based inefficiency: An application to Bangladesh banking. Omega, 41(1), 88–96.

2. Asmild, M., Paradi, J. C., Aggarwall, V., & Schaffnit, C. (2004). Combining DEA window analysis with the Malmquist index approach in a study of the Canadian banking industry. Journal of Productivity Analysis, 21(1), 67–89.

3. Assaf, A. G., Matousek, R., & Tsionas, E. G. (2013). Turkish bank efficiency: Bayesian estimation with undesirable outputs. Journal of Banking & Finance, 37(2), 506–517.

4. Avkiran, N. K. (2015). An illustration of dynamic network DEA in commercial banking including robustness tests. Omega, 55, 141–150.

5. Azad, M. A. K., Munisamy, S., Masum, A. K. M., Saona, P., & Wanke, P. (2017). Bank efficiency in Malaysia: A use of malmquist meta-frontier analysis. Eurasian Business Review, 7(2), 287–311.

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