Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 259

The DOI matches its Crossref record.

Kin Groups and Reciprocity: A Model of Credit Transactions in Ghana

Open access
Ferrara, Eliana La·2003·American Economic Review

Abstract

This paper studies kinship band networks as capital market institutions. Membership in a community where individuals are dynastically linked has two effects on informal credit. First, the nonanonymity of the dynastic link allows to sanction the defaulters’ offspring and induce compliance even in short-term interactions (social enforcement). Second, preferential agreements can arise in which kin members condition their behavior on the characteristics of a player’s predecessor, expecting others to do the same with their offspring (reciprocity). These effects are incorporated in an OLG game with endogenous matching between lenders and borrowers and tested using household-level data from Ghana.

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 · 10.1257/000282803322655518

Cites

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

Cited by

Metadata

Authors
Ferrara, E. L.
Venue
American Economic Review
Published
2003-11-01
Volume
93
Issue
5
Pages
1730-1751
ISSN
0002-8282 (ISSN-L)
OpenAlex
W2000584203
Cited by
259
References
0
FWCI
23.07
Type
journal article
Language
en
Open access
green

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

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.