This study provides an empirical assessment of the socioeconomic factors that determine household exclusion from consumer financial services. A unique microeconomic data set, of interview data, collected from a representative cross-sectional sample of 1005 households is analysed using logistic regression techniques. In investigating exclusion from consumer financial services, both financial self-exclusion and institutional-led financial exclusion are examined. Indicators of financial self-exclusion include the absence of a savings account or home contents insurance, whilst indicators of institutional-led financial exclusion include the use of “doorstep lenders.” Findings show that both measures of financial self-exclusion are determined by income, education, age, housing tenure, and social participation, whilst financial exclusion is generally associated with socioeconomic characteristics such as age, gender, housing tenure, working status, income, disability, and the presence of young people in household but not with respondents’ residential area, education level, internet use, and social participation. These results offer useful insights to policy makers and financial services providers in terms of the range and mix of policies and instruments that local and central Government can deploy to address exclusion

Analysing Household and Intra-urban Variants in the Consumption of Financial Services: Uncovering “Exclusion” in an English City

Gianpiero Torrisi
2016

Abstract

This study provides an empirical assessment of the socioeconomic factors that determine household exclusion from consumer financial services. A unique microeconomic data set, of interview data, collected from a representative cross-sectional sample of 1005 households is analysed using logistic regression techniques. In investigating exclusion from consumer financial services, both financial self-exclusion and institutional-led financial exclusion are examined. Indicators of financial self-exclusion include the absence of a savings account or home contents insurance, whilst indicators of institutional-led financial exclusion include the use of “doorstep lenders.” Findings show that both measures of financial self-exclusion are determined by income, education, age, housing tenure, and social participation, whilst financial exclusion is generally associated with socioeconomic characteristics such as age, gender, housing tenure, working status, income, disability, and the presence of young people in household but not with respondents’ residential area, education level, internet use, and social participation. These results offer useful insights to policy makers and financial services providers in terms of the range and mix of policies and instruments that local and central Government can deploy to address exclusion
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/352911
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