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政大機構典藏 > 商學院 > 金融學系 > 期刊論文 > Item 140.119/112095

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/112095

Title:	An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009
Authors:	黃台心 Huang, Tai-Hsin Chen, Kuan-Chen Lin, Chung-I
Contributors:	金融系
Keywords:	Network DEA;Technical efficiency;Fractional parameters;Copula-based method;Stochastic production and cost frontiers;Multi-stage technologies
Date:	2017
Issue Date:	2017-08-22 17:21:03 (UTC+8)
Abstract:	The main contribution of network DEA deals with the dual role of deposits in the bank production process. Deposits are first viewed as an intermediate output, produced by, e.g., fractions of labor and capital. This intermediate output is next used as an input in the second process, together with the remaining labor and capital, to produce output combinations. A problem occurs in that network DEA suffers from the difficulty of determining the fractions of labor and capital used in the first process. This research thus develops an economic model to characterize the underlying multi-stage technologies and proposes a copula-based econometric model to identify parameters of the structural equations, including the fractional parameters, by the maximum likelihood. Our model also estimates technical efficiencies of the stochastic production and cost frontiers. We collect data from U.S. banks in 2009 to illustrate the feasibility and usefulness of our modeling, and the results are promising.
Relation:	Quarterly Review of Economics and Finance
Data Type:	article
DOI 連結:	https://doi.org/10.1016/j.qref.2017.04.007
DOI:	10.1016/j.qref.2017.04.007
Appears in Collections:	[金融學系] 期刊論文

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