The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
DO WOMEN PAY MORE FOR CREDIT? EVIDENCE FROM ITALY
Abstract
By using a unique and large data set on loan contracts between banks and microfirms, we find robust evidence that women in Italy pay more for credit than men, although we do not find any evidence that women borrowers are riskier than men. The male/female differential remains even after controlling for a large number of characteristics of the type of business, the borrower, and the structure of the credit market. The result is not driven by lack of credit history, nor by women using a different type of bank than men, since the same bank charges different rates to male and female borrowers.
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Cites
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
Male-female wage differentials in urban labor markets
Oaxaca, R. (1973) · International Economic Review · doi:10.2307/2525981 · Cited by 8,463
Wage discrimination: Reduced form and structural estimates
Blinder, A. S. (1973) · The Journal of Human Resources · doi:10.2307/144855 · Cited by 6,922
Testing slope homogeneity in large panels
Hashem Pesaran, M., & Yamagata, T. (2008) · Journal of Econometrics · doi:10.1016/j.jeconom.2007.05.010 · Cited by 5,954
Gender Differences in Preferences
Croson, R., & Gneezy, U. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.2.448 · Cited by 5,694
Making Democracy Work: Civic Traditions in Modern Italy
Putnam, R. D., Leonardi, R., & Nonetti, R. Y. (1994) · Princeton University Press eBooks · doi:10.2307/j.ctt7s8r7 · Cited by 5,580
The Benefits of Lending Relationships: Evidence from Small Business Data
PETERSEN, M. A., & RAJAN, R. G. (1994) · The Journal of Finance · doi:10.1111/j.1540-6261.1994.tb04418.x · Cited by 5,440
Propensity Score-Matching Methods for Nonexperimental Causal Studies
Dehejia, R. H., & Wahba, S. (2002) · Review of Economics and Statistics · doi:10.1162/003465302317331982 · Cited by 4,846
Bertrand, M., & Mullainathan, S. (2004) · American Economic Review · doi:10.1257/0002828042002561 · Cited by 4,504
Insiders and Outsiders: The Choice between Informed and Arm's‐Length Debt
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Cited by
In Our Best Interest: Women, Financial Literacy, and Credit Card Behavior
Mottola, G. (2013) · Numeracy · doi:10.5038/1936-4660.6.2.4 · Cited by 194
Small Business Performance: Is It Access to Formal or Informal Credit that Matters?
Mutsonziwa, K., & Fanta, A. B. (2021) · Journal of African Business · doi:10.1080/15228916.2020.1826854 · Cited by 33
The Fairness of Credit Scoring Models
Hurlin, C., Perignon, C., & Saurin, S. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3785882 · Cited by 26
“However, each member state can develop its own legislation (4)Other price di erences are reported for women in Italy (Alesina et al. (2013)).”
Sierminska, E., Piazzalunga, D., & Grabka, M. (2018) · doi:10.2139/ssrn.3289078 · Cited by 22
Patterns and heterogeneity in credit repayment performance: Evidence from Malian farmers
Ölkers, T., Liu, S., Mußhoff, O., & Yu, X. (2025) · Applied Economic Perspectives and Policy · doi:10.1002/aepp.13484 · Cited by 7
Metadata
- Authors
- Alesina, A. F., Lotti, F., & Mistrulli, P. E.
- Venue
- Journal of the European Economic Association
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-01
- Volume
- 11
- Pages
- 45-66
- ISSN
- 1542-4766 (ISSN-L)
- OpenAlex
- W3125559914
- Cited by
- 325
- References
- 45
- FWCI
- 26.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Alesina, A. F., Lotti, F., & Mistrulli, P. E. (2013). DO WOMEN PAY MORE FOR CREDIT? EVIDENCE FROM ITALY. Journal of the European Economic Association. https://doi.org/10.1111/j.1542-4774.2012.01100.x
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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.