1. NCCU Academic Hub
  2. 學術產出
  3. College of Commerce
  4. Periodical Articles
  5. Item

學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009
作者 黃台心
Huang, Tai Hsin
Chen, Kuan Chen
Lin, Chung I.
貢獻者 金融系
關鍵詞 Network DEA; Technical efficiency; Fractional parameters; Copula-based method; Stochastic production and cost frontiers; Multi-stage technologies
日期 2017-05
上傳時間 31-Aug-2017 11:37:56 (UTC+8)
摘要 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.
關聯 Quarterly Review of Economics and Finance
資料類型 article
DOI http://dx.doi.org/10.1016/j.qref.2017.04.007
dc.contributor 金融系zh_TW
dc.creator (作者) 黃台心zh_TW
dc.creator (作者) Huang, Tai Hsinen_US
dc.creator (作者) Chen, Kuan Chenen_US
dc.creator (作者) Lin, Chung I.en_US
dc.date (日期) 2017-05-
dc.date.accessioned 31-Aug-2017 11:37:56 (UTC+8)-
dc.date.available 31-Aug-2017 11:37:56 (UTC+8)-
dc.date.issued (上傳時間) 31-Aug-2017 11:37:56 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/112332-
dc.description.abstract (摘要) 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.en_US
dc.format.extent 1653373 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Quarterly Review of Economics and Financeen_US
dc.subject (關鍵詞) Network DEA; Technical efficiency; Fractional parameters; Copula-based method; Stochastic production and cost frontiers; Multi-stage technologiesen_US
dc.title (題名) An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009en_US
dc.type (資料類型) article-
dc.identifier.doi (DOI) 10.1016/j.qref.2017.04.007-
dc.doi.uri (DOI) http://dx.doi.org/10.1016/j.qref.2017.04.007-