Adetutu, M.O., Glass, A.J. orcid.org/0000-0002-5984-7666, Kenjegalieva, K. orcid.org/0000-0001-7323-077X et al. (1 more author) (2025) Product level market power spillovers among U.S. banks. Papers in Regional Science, 104. 100093. ISSN 1056-8190
Abstract
Bank market power has far-reaching effects as, among other things, it affects the price of credit. Even though it is well-known that banks are spatially interdependent due to rival banks having branches in the same geographical areas, the literature on bank market power overlooks this. To measure market power spillovers, we set out an approach to calculate spill-in and spill-out Lerner indices for firms and their products. To account for the marked consolidation over the sample, we use unbalanced panel data comprising over 45,000 observations for large commercial U.S. banks. From spatial stochastic frontier models, we obtain estimates of these indices (with and without adjustment for inefficiency spill-ins and spill-outs). We observe high spill-in Lerner indices for some banks, which is consistent with consolidation in the industry leading to concerns about bank market power. In line with larger agglomeration effects being conducive to higher spillovers, banks with high spillover Lerner indices tend to have branches in major cities.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2025 The Authors. Except as otherwise noted, this author-accepted version of a journal article published in Papers in Regional Science is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ © 2025 Published by Elsevier B.V. on behalf of The Regional Science Association International. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Multi-product banks; Branch geography; Spatial stochastic frontier analysis; Market power; Lerner index |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Apr 2025 11:16 |
Last Modified: | 14 Apr 2025 15:10 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.pirs.2025.100093 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:225153 |
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