The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Impact of anti-discrimination laws on credit scoring
Open accessAbstract
The political desire for further integration within the European Union will have an increasing effect on the financial services industry, including banking and credit lending. Harmonisation can potentially have great benefit for consumers as the European banks compete for their business across the Union. Harmonisation, however, brings with it a set of decisions for both credit grantors and regulators. There are issues associated with information that can be used in risk assessment to ensure fair decisions in granting credit. In the past the rules have been developed under national legislation. EU directives seek to harmonise the national rules and provide a new guidance on variables that may be held. The major concern relates to the issue of discrimination. The aim of the law is to promote the principle of equal treatment, which can be interpreted in a number of ways. The legal interpretation of discrimination does not necessarily coincide with the economic standpoint. Furthermore, previous empirical research suggests that prohibition of variables may not only affect the ability to distinguish between good and bad risk, but may also be disadvantageous to the groups the legislation is supposed to protect. This paper explores these issues from both theoretical and practical points of view.
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“Comparable problems can be found in the literature on credit scoring, where the place of residence can have a negative effect on creditworthiness and thus discriminate against people in selected regions (Andreeva et al., 2004; Fernandes and Artes, 2016; Havard, 2010; Marron, 2007).”
From Trust-Building in Peer-to-Peer Carsharing: Design Case Study for Algorithm-Based Reputation Systems (2024) · cites this paper as Andreeva et al., 2004
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Cites
The interpretation of interaction in contingency tables
Simpson, E. H. (1951) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1951.tb00088.x · Cited by 2,301
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Trust-Building in Peer-to-Peer Carsharing: Design Case Study for Algorithm-Based Reputation Systems
Neifer, T., Bossauer, P., Pakusch, C., Boehm, L., & Lawo, D. (2024) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-022-09461-4 · Cited by 6
“Comparable problems can be found in the literature on credit scoring, where the place of residence can have a negative effect on cred-itworthiness and thus discriminate against people in selected regions (Andreeva et al., 2004; Fernandes and Artes, 2016; Havard, 2010; Marron, 2007).”
Metadata
- Authors
- Andreeva, G., Ansell, J., & Crook, J.
- Affiliations
- University of Edinburgh (GB)
- Corresponding author
- Andreeva, Galina
- Venue
- Journal of Financial Services Marketing
- Published
- 2004-09-01
- Volume
- 9
- Issue
- 1
- Pages
- 22-33
- ISSN
- 1363-0539 (ISSN-L)
- 1479-1846
- OpenAlex
- W2019382093
- Cited by
- 13
- References
- 1
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 1 · 2019: 1 · 2018: 1 · 2013: 1 · 2012: 2
- FWCI
- 10.02
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-08-14)
- Open access
- hybrid
- doi.org
- Locations
- Journal of Financial Services Marketing (publishedVersion, cc-by)
- Edinburgh Research Explorer (University of Edinburgh) (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Law › Discrimination and Equality Law
- Social Sciences › Business, Management and Accounting › Accounting › Financial Distress and Bankruptcy Prediction
- Social Sciences › Economics, Econometrics and Finance › Finance › Banking stability, regulation, efficiency
- Keywords
- anti-discrimination law, credit scoring, EU financial regulation, equal treatment, credit risk assessment, lending, consumer protection, bank competition
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Impact of anti-discrimination laws on credit scoring. https://app.cochat.ai/papers/10.1057/palgrave.fsm.4770138
- The paper
- Andreeva, G., Ansell, J., & Crook, J. (2004). Impact of anti-discrimination laws on credit scoring. Journal of Financial Services Marketing. https://doi.org/10.1057/palgrave.fsm.4770138