Urban Households
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Detecting Financial Vulnerability in Urban Households Using Machine Learning: A Predictive Model for Early Risk Identification
Abstract: Urban households in an emerging economy are facing financial vulnerability which is a growing socioeconomic concern and usually does not notice the traditional credit evaluation methods. This study proposes a machine learning-based model that will predict an early warning of financial vulnerability by integrating both behavioral and socioeconomic factors. A structured questionnaire was used to collect primary data comprising of 328 urban households with Indians. After data preprocess and feature …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 9, Issue 2, 2026 Read article
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A Study of Gender-Based Differences in Household Finance Decisions and Consumer Behavior
Abstract: This study examines gender-based differences in household financial decision-making and consumer behavior in urban India. Household finance decisions, such as saving, spending, investment, and credit usage, are influenced not only by economic factors but also by behavioral and psychological attributes, which often vary across genders. The study adopts a quantitative and analytical research design based on primary data collected from urban households. A structured questionnaire was used to collect data …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 1, 2026 Read article