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Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity Author info | Abstract | Publisher info | Download info | Related research | Statistics Guohua Feng ()
Apostolos Serletis
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This paper provides parametric estimates of technical change, efficiency change, economies of scale, and total factor productivity growth for large banks (those with assets in excess of $1 billion) in the United States, over the period from 2000 to 2005. This is done by estimating an output distance function subject to theoretical regularity within a Bayesian framework. We find that failure to incorporate theoretical regularity conditions results in mismeasured shadow revenue and/or cost shares, which in turn leads to perverse conclusions regarding productivity growth. Our results from the regularity-constrained model show that total factor productivity of the large U.S. banks grew at an average rate of 1.98% over the sample period. However, our estimates also show a clear downward trend in the growth rate of total factor productivity and our decomposition of the primal Divisia total factor productivity growth index into its three components - technical change, efficiency change, and economies of scale - indicates that technical change is the driving force behind this decline.
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Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number
5/09.
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Length: 48 pages
Date of creation: 24 Jun 2009Date of revision:
Handle: RePEc:msh:ebswps:2009-5Contact details of provider: Postal: PO Box 11E, Monash University, Victoria 3800, Australia Phone: +61-3-9905-2489 Fax: +61-3-9905-5474 Email: Web page: http://www.buseco.monash.edu.au/depts/ebs/ More information through EDIRC
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Keywords: Productivity decomposition ; Translog output distance function. ; Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Mortgages
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