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Understanding the factors behind racial and ethnic disparities in the adoption of alternative financial services: a decomposition analysis

Understanding the factors behind racial and ethnic disparities in the adoption of alternative... The purpose of this study was to examine racial/ethnic differences in AFS use and their contributing factors using a decomposition analysis.Design/methodology/approachThe 2018 National Financial Capability Study dataset was used to analyze the four major types of AFS—title loans, payday loans, pawnshops, and rent-to-own (RTO) stores—as proxies for AFS use. The study conducted both logistic regression analysis and decomposition analysis to examine the contributing factors.FindingsThe results of the logistic regression analysis demonstrated significant disparities in the use of alternative financial services (AFS) among racial and ethnic groups. Specifically, it was found that Blacks were more likely to utilize title and payday loans, pawnshops, and rent-to-own (RTO) stores compared to Whites. In contrast, Hispanics and Asians/individuals of other ethnicities were less likely to use title loans, but Hispanics were more likely to opt for payday loans over Whites. Furthermore, objective financial literacy exhibited a negative association with the likelihood of using these four types of AFS, whereas subjective financial literacy consistently showed a positive association. When examining the decomposition analyses, it became evident that both objective and subjective financial literacy played significant roles in explaining the racial and ethnic disparities in AFS usage. However, the patterns varied in three specific pairwise comparisons.Originality/valueThis study revealed the relative contributions of each factor to the racial/ethnic disparities through decomposition analysis. Our Fairlie decomposition approach addressed non-linearities within the decomposition framework, particularly in estimating the probabilities of AFS utilization, given its binary outcomes. This extension builds upon the Oaxaca decomposition. The study offers valuable insights into the variations in AFS use among different racial and ethnic groups. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Bank Marketing Emerald Publishing

Understanding the factors behind racial and ethnic disparities in the adoption of alternative financial services: a decomposition analysis

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References (84)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0265-2323
DOI
10.1108/ijbm-03-2023-0136
Publisher site
See Article on Publisher Site

Abstract

The purpose of this study was to examine racial/ethnic differences in AFS use and their contributing factors using a decomposition analysis.Design/methodology/approachThe 2018 National Financial Capability Study dataset was used to analyze the four major types of AFS—title loans, payday loans, pawnshops, and rent-to-own (RTO) stores—as proxies for AFS use. The study conducted both logistic regression analysis and decomposition analysis to examine the contributing factors.FindingsThe results of the logistic regression analysis demonstrated significant disparities in the use of alternative financial services (AFS) among racial and ethnic groups. Specifically, it was found that Blacks were more likely to utilize title and payday loans, pawnshops, and rent-to-own (RTO) stores compared to Whites. In contrast, Hispanics and Asians/individuals of other ethnicities were less likely to use title loans, but Hispanics were more likely to opt for payday loans over Whites. Furthermore, objective financial literacy exhibited a negative association with the likelihood of using these four types of AFS, whereas subjective financial literacy consistently showed a positive association. When examining the decomposition analyses, it became evident that both objective and subjective financial literacy played significant roles in explaining the racial and ethnic disparities in AFS usage. However, the patterns varied in three specific pairwise comparisons.Originality/valueThis study revealed the relative contributions of each factor to the racial/ethnic disparities through decomposition analysis. Our Fairlie decomposition approach addressed non-linearities within the decomposition framework, particularly in estimating the probabilities of AFS utilization, given its binary outcomes. This extension builds upon the Oaxaca decomposition. The study offers valuable insights into the variations in AFS use among different racial and ethnic groups.

Journal

International Journal of Bank Marketing – Emerald Publishing

Published: Nov 20, 2024

Keywords: Race/ethnicity; Alternative financial services; Financial literacy; Decomposition analysis

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