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Cited by 803

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods

Open access
Bauer, Paul W., Berger, Allen N., Ferrier, Gary D., Humphrey, David B.·1998·Journal of Economics and Business

Abstract

We propose a set of consistency conditions that frontier efficiency measures should meet to be most useful for regulatory analysis or other purposes. The efficiency estimates should be consistent in their efficiency levels, rankings, and identification of best and worst firms, consistent over time and with competitive conditions in the market, and consistent with standard nonfrontier measures of performance. We provide evidence on these conditions by evaluating and comparing efficiency estimates on U.S. bank efficiency from variants of all four of the major approaches -- DEA, SFA, TFA, and DFA -- and find mixed results.

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Crossref · 10.1016/s0148-6195(97)00072-6

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Metadata

Authors
Bauer, P. W., Berger, A. N., Ferrier, G. D., & Humphrey, D. B.
Venue
Journal of Economics and Business
Publisher
Elsevier BV
Published
1998-03
Volume
50
Issue
2
Pages
85-114
ISSN
0148-6195 (ISSN-L)
OpenAlex
W2110625960
Cited by
803
References
38
FWCI
16.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods. https://app.cochat.ai/papers/10.1016/s0148-6195(97)00072-6
The paper
Bauer, P. W., Berger, A. N., Ferrier, G. D., & Humphrey, D. B. (1998). Consistency Conditions for Regulatory Analysis of Financial Institutions: A Comparison of Frontier Efficiency Methods. Journal of Economics and Business. https://doi.org/10.1016/s0148-6195(97)00072-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.