Financial literacy and consumer credit portfolios
Open accessIntegrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
- green
- figshare.com
- Licence
- 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
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.
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