Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 1,300

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Distance and Private Information in Lending

Open access
Agarwal, Sumit, Hauswald, Robert·2010·Review of Financial Studies
DOI 10.1093/rfs/hhq001
Open this paper in CoChat — free account

Abstract

We study the effects of physical distance on the acquisition and use of private information in informationally opaque credit markets. Using a unique data set of all loan applications by small firms to a large bank, we show that borrower proximity facilitates the collection of soft information, leading to a trade-off in the availability and pricing of credit, which is more readily accessible to nearby firms albeit at higher interest rates ceteris paribus. Analyzing loan rates and firms’ decision to switch lenders provides further evidence for banks’ strategic use of private information. However, distance erodes our lender’s ability to collect proprietary intelligence and to carve out local captive markets, suggesting that the requisite soft information is primarily local.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/rfs/hhq001

Cites

34 of 34 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 34 references

Cited by

See all 1,300

Metadata

Authors
Agarwal, S., & Hauswald, R.
Venue
Review of Financial Studies
Publisher
Oxford University Press (OUP)
Published
2010-04-13
Volume
23
Issue
7
Pages
2757-2788
ISSN
  • 0893-9454 (ISSN-L)
  • 1465-7368
DOI
10.1093/rfs/hhq001
OpenAlex
W2058576880
Cited by
1,300
References
34
FWCI
74.12
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Distance and Private Information in Lending. https://app.cochat.ai/papers/10.1093/rfs/hhq001
The paper
Agarwal, S., & Hauswald, R. (2010). Distance and Private Information in Lending. Review of Financial Studies. https://doi.org/10.1093/rfs/hhq001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.