Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis

Guohua Feng, Xiaohui Zhang

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This paper compares the productivity and efficiency of large banks and community banks in the United States over the period 1997-2006. This comparison is performed by estimating a true random effects stochastic distance frontier model - a model that is capable of disentangling unobserved heterogeneity from inefficiency - within a Bayesian framework. We find that failure to consider unobserved heterogeneity results in a misleading ranking of banks and mismeasured technical efficiency, productivity growth, and returns to scale. Our results show that, compared with community banks, large banks have experienced much higher productivity growth and higher levels of returns to scale. Our estimates of total factor productivity growth show a clear downward trend for both large and community banks, and our decomposition of the output-distance-function-based Divisia productivity index indicates that technical change is the driving force behind this trend.
Original languageEnglish
Pages (from-to)1883 - 1895
Number of pages13
JournalJournal of Banking and Finance
Volume36
Issue number7
DOIs
Publication statusPublished - 2012

Cite this

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title = "Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis",
abstract = "This paper compares the productivity and efficiency of large banks and community banks in the United States over the period 1997-2006. This comparison is performed by estimating a true random effects stochastic distance frontier model - a model that is capable of disentangling unobserved heterogeneity from inefficiency - within a Bayesian framework. We find that failure to consider unobserved heterogeneity results in a misleading ranking of banks and mismeasured technical efficiency, productivity growth, and returns to scale. Our results show that, compared with community banks, large banks have experienced much higher productivity growth and higher levels of returns to scale. Our estimates of total factor productivity growth show a clear downward trend for both large and community banks, and our decomposition of the output-distance-function-based Divisia productivity index indicates that technical change is the driving force behind this trend.",
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Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis. / Feng, Guohua; Zhang, Xiaohui.

In: Journal of Banking and Finance, Vol. 36, No. 7, 2012, p. 1883 - 1895.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Zhang, Xiaohui

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AB - This paper compares the productivity and efficiency of large banks and community banks in the United States over the period 1997-2006. This comparison is performed by estimating a true random effects stochastic distance frontier model - a model that is capable of disentangling unobserved heterogeneity from inefficiency - within a Bayesian framework. We find that failure to consider unobserved heterogeneity results in a misleading ranking of banks and mismeasured technical efficiency, productivity growth, and returns to scale. Our results show that, compared with community banks, large banks have experienced much higher productivity growth and higher levels of returns to scale. Our estimates of total factor productivity growth show a clear downward trend for both large and community banks, and our decomposition of the output-distance-function-based Divisia productivity index indicates that technical change is the driving force behind this trend.

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