Banking Geography and Cross-Fertilization in the Productivity Growth of US Commercial Banks
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Cited by:
- Tabak, Benjamin M. & Miranda, Rogério Boueri & Fazio, Dimas M., 2013.
"A geographically weighted approach to measuring efficiency in panel data: The case of US saving banks,"
Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3747-3756.
- Benjamin M. Tabak & Rogério B. Miranda & Dimas M. Fazio, 2012. "A Geographically Weighted Approach in Measuring Efficiency in Panel Data: the Case of US Saving Banks," Working Papers Series 275, Central Bank of Brazil, Research Department.
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Keywords
Spatial; Commercial Banks; Total Factor Productivity Growth; Kalman Filter;All these keywords.
JEL classification:
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
- K23 - Law and Economics - - Regulation and Business Law - - - Regulated Industries and Administrative Law
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2011-04-16 (Banking)
- NEP-EFF-2011-04-16 (Efficiency and Productivity)
- NEP-GEO-2011-04-16 (Economic Geography)
- NEP-URE-2011-04-16 (Urban and Real Estate Economics)
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