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Females On The Fringe: Considering Gender In Payday Lending Policy, Amy J. Schmitz
Females On The Fringe: Considering Gender In Payday Lending Policy, Amy J. Schmitz
Faculty Publications
Payday lending may provide a much-needed safety net for some consumers in need of quick cash for emergencies. However, data suggest that most payday loan borrowers become repeat users caught in a cycle of high-cost debt. Furthermore, empirical evidence indicates consistent overrepresentation of women, including many single mothers, among payday loan borrowers. This takes a toll not only on these women and their families, but also on society as a whole. Indeed, context matters in payday lending debates. It is thus time to think creatively and consider contextualized programs that aim to increase women’s and all consumers’ safe borrowing options, …
Secret Consumer Scores And Segmentations: Separating Consumer 'Haves' From 'Have-Nots', Amy J. Schmitz
Secret Consumer Scores And Segmentations: Separating Consumer 'Haves' From 'Have-Nots', Amy J. Schmitz
Faculty Publications
“Big Data” is big business. Data brokers profit by tracking consumers’ information and behavior both on- and offline and using this collected data to assign consumers evaluative scores and classify consumers into segments. Companies then use these consumer scores and segmentations for marketing and to determine what deals, offers, and remedies they provide to different individuals. These valuations and classifications are based on not only consumers’ financial histories and relevant interests, but also their race, gender, ZIP Code, social status, education, familial ties, and a wide range of additional data. Nonetheless, consumers are largely unaware of these scores and segmentations, …