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Cited by 518

The DOI matches its Crossref record.

Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation

Aly, Hassan Y., Grabowski, Richard, Pasurka, Carl, Rangan, Nanda·1990·The Review of Economics and Statistics
DOI 10.2307/2109710
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Abstract

A nonparametric frontier approach is used to calculate the overall, technical, pure technical, allocative, and scale efficiencies for a sample of 322 independent banks. The sample was drawn from the Federal Deposit Insurance Corporation tapes on the Reports of Conditions and Reports of Income (Call Reports) for the year 1986. The results indicate a low level of overall efficiency. The main source of inefficiency is technical in nature, rather than allocative. Separate efficiency frontiers are constructed to test the effect of branching. However, the distributions of efficiency measures for branching and nonbranching banks are not found to be different. Coauthors are Richard Grabowski, Carl Pasurka, and Nanda Rangan. Copyright 1990 by MIT Press.

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Metadata

Authors
Aly, H. Y., Grabowski, R., Pasurka, C., & Rangan, N.
Venue
The Review of Economics and Statistics
Publisher
JSTOR
Published
1990-05
Volume
72
Issue
2
Pages
211
ISSN
0034-6535 (ISSN-L)
DOI
10.2307/2109710
OpenAlex
W2055010094
Cited by
518
References
0
FWCI
12.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation. https://app.cochat.ai/papers/10.2307/2109710
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Aly, H. Y., Grabowski, R., Pasurka, C., & Rangan, N. (1990). Technical, Scale, and Allocative Efficiencies in U.S. Banking: An Empirical Investigation. The Review of Economics and Statistics. https://doi.org/10.2307/2109710

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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.