Costs, size and returns to scale among Canadian and U.S. commercial banks
Robert McKeown
No 274708, Queen's Economics Department Working Papers from Queen's University - Department of Economics
Abstract:
I compare returns to scale in the U.S. and Canadian banking system from 1996 to 2015. I estimate a parametric trans-log cost function and, for robustness, an inputoriented distance function. I do this in a way that is commensurate with the limitations of these models. Among the ten largest commercial banks, I find evidence for small but statistically significant increasing returns to scale (RTS). This reflects the descriptive data that offers little evidence for extremely large scale economies. Comparatively, I find constant RTS for the Canadian banks. They paid fewer costs per asset, particularly lower labour costs and legal penalties. Comparing income statement items, I find that, despite higher firm concentration in Canada, the U.S. banks had higher net interest margin rate, paid a lower rate of interest on funds, and had higher credit losses per financial assets. If the U.S. banking system is more competitive, this questions whether an increase in bank competition will create a net positive outcome for society.
Keywords: Financial; Economics (search for similar items in EconPapers)
Pages: 69
Date: 2017-04
New Economics Papers: this item is included in nep-ban and nep-eff
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/274708/files/qed_wp_1382.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:quedwp:274708
DOI: 10.22004/ag.econ.274708
Access Statistics for this paper
More papers in Queen's Economics Department Working Papers from Queen's University - Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().