Discrimination Expectations in the Credit Market: Survey Evidence from India

We present results from a representative survey and an information experiment to provide evidence on discrimination expectations. We find that discrimination based on gender, caste, and religion is perceived to be widespread in society overall and in the credit market. Support for affirmative action is shaped by the extent of expected discrimination against a group and by respondents' own group identity and social attitudes. Information about the true extent of discrimination is effective in correcting inaccurate discrimination expectations but has no meaningful impact on support for policies designed to reduce discrimination in practice.

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Publication Details

Journal
AEA Papers and Proceedings
Published
2025-05-01
DOI
https://doi.org/10.1257/pandp.20251098
Citations
1
Primary Topic
Names, Identity, and Discrimination Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Discrimination Expectations in the Credit Market: Survey Evidence from India

Stefano Fiorin, Martin Kanz, Joseph Hall
1 citations
AEA Papers and Proceedings
Names, Identity, and Discrimination Research
article

Discrimination Expectations in the Credit Market: Survey Evidence from India

Stefano Fiorin, Martin Kanz, Joseph Hall
article en
1 citations

Abstract

We present results from a representative survey and an information experiment to provide evidence on discrimination expectations. We find that discrimination based on gender, caste, and religion is perceived to be widespread in society overall and in the credit market. Support for affirmative action is shaped by the extent of expected discrimination against a group and by respondents' own group identity and social attitudes. Information about the true extent of discrimination is effective in correcting inaccurate discrimination expectations but has no meaningful impact on support for policies designed to reduce discrimination in practice.

AEA Papers and ProceedingsVol. 115
Georgia Institute of Technology (US), World Bank (US), Bocconi University (IT)
Openalex Percentile: Top 84%
Names, Identity, and Discrimination Research
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Discrimination Expectations in the Credit Market: Survey Evidence from India — Stefano Fiorin, Martin Kanz, et al. · AEA Papers and Proceedings (2025) | TGRS Research Map | TGRS