Cited by 439Financial Literacy, Pension, Retirement AnalysisFinancial Literacy and BehaviorBanking stability, regulation, efficiency

Financial literacy and consumer credit portfolios

Open access
Disney, Richard, Gathergood, John·2013·Journal of Banking & Finance

Integrity signals

Registry

Crossref · 10.1016/j.jbankfin.2013.01.013

Cites

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Claims other papers make about this one

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  • In the U.K., low levels of financial literacy are associated with an excessive use of high-cost credit like payday loans or mail order catalogue debt.

    “Disney and Gathergood (2013) confirm this finding for the U.K. by showing that low levels of financial literacy are associated with an excessive use of high-cost credit like payday loans or mail order catalogue debt.”

    From Financial literacy, financial advice, and financial behavior (2017) · cites this paper as Disney and Gathergood (2013)

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References 32 · Cited by 439

Authors
Disney, R., & Gathergood, J.
Affiliations
  • Institute for Fiscal Studies (GB)
  • University of Nottingham (GB)
Corresponding author
Gathergood, John
Venue
Journal of Banking & Finance
Publisher
Elsevier BV
Published
2013-07
Volume
37
Issue
7
Pages
2246-2254
ISSN
0378-4266 (ISSN-L)
OpenAlex
W1985117677
Cited by
439
References
32
Citations by year
2026: 37 · 2025: 50 · 2024: 53 · 2023: 48 · 2022: 34 · 2021: 34 · 2020: 37 · 2019: 51 · 2018: 25 · 2017: 20 · 2016: 21 · 2015: 15 · 2014: 8 · 2013: 5 · 2012: 1
FWCI
63.40
Type
journal article
Language
en
Open access
Locations
  • Journal of Banking & Finance (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Topics
  • Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy, Pension, Retirement Analysis
  • Social Sciences › Business, Management and Accounting › Accounting › Financial Literacy and Behavior
  • Social Sciences › Economics, Econometrics and Finance › Finance › Banking stability, regulation, efficiency
Keywords
financial literacy, consumer credit, loan portfolio, payday loans, household borrowing

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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.

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