An optimal threshold for over-indebtedness: a study on the discrepancy between subjective and objective debt burdens

IF 6.3 3区 管理学 Q1 BUSINESS International Journal of Bank Marketing Pub Date : 2024-06-04 DOI:10.1108/ijbm-05-2023-0283
Piotr Bialowolski, Ryszard Kowalski, Agnieszka Wałęga, Grzegorz Wałęga
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Abstract

Purpose

The study aims to explore the discrepancy between the subjective and objective debt burdens across various household socio-demographic and debt characteristics. Additionally, it seeks to establish an optimal debt service-to-income ratio (DSTI) threshold for identifying over-indebtedness.

Design/methodology/approach

This study utilized a sample of 1,004 respondents from a nationwide survey conducted among Polish indebted households. A discrepancy ratio (DR) measure was proposed to evaluate the divergence between subjective and objective over-indebtedness. Binary logistic regression was employed to estimate the probability of being subjectively and objectively over-indebted, as well as the discrepancy between the two measures of over-indebtedness. The study also employed numerical simulations to determine the optimal DSTI threshold for identifying over-indebted households in general and based on their socio-economic characteristics.

Findings

The study established a debt service-to-income ratio (DSTI) threshold of 20% to minimize the discrepancy between subjective and objective debt burden, which is lower than thresholds found in other studies aimed at identifying over-indebted households. Age, number of loans, self-perceived needs satisfaction and type of debt were identified as significant socio-economic and debt-related determinants of over-indebtedness. Household socio-economic and debt-related characteristics significantly influence the threshold for identifying over-indebtedness using DSTI. It can vary widely, ranging from as low as 11% for well-educated women with multiple loan commitments to 43.7% for young males with vocational education, high incomes and originating from households with four or more members.

Originality/value

The paper proposes a more comprehensive approach to debt burden analysis by introducing a new methodology for determining a debt service-to-income (DSTI) threshold that could serve as a measure of over-indebtedness based on the discrepancy between subjective and objective over-indebtedness. It also emphasizes the significance of socio-economic and debt-related factors in evaluating subjective and objective over-indebtedness.

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过度负债的最佳阈值:关于主观和客观债务负担差异的研究
目的 本研究旨在探讨不同家庭社会人口和债务特征下主观和客观债务负担之间的差异。此外,本研究还试图建立一个最佳的偿债收入比(DSTI)阈值,用于识别过度负债。研究提出了一种差异比(DR)测量方法,用于评估主观和客观过度负债之间的差异。研究采用二元逻辑回归法估算主观和客观过度负债的概率,以及两种过度负债衡量标准之间的差异。研究还采用了数字模拟方法,以确定识别一般过度负债家庭和基于其社会经济特征的最佳偿债与收入比率临界值。研究结果 该研究将偿债与收入比率临界值定为 20%,以尽量减少主观和客观债务负担之间的差异,该临界值低于其他旨在识别过度负债家庭的研究中发现的临界值。年龄、贷款数量、自我感觉的需求满意度和债务类型被确定为过度负债的重要社会经济和债务相关决定因素。家庭社会经济特征和债务相关特征对使用 DSTI 识别过度负债的临界值有很大影响。本文提出了一种更全面的债务负担分析方法,引入了一种新的方法来确定偿债与收入比率(DSTI)阈值,该阈值可作为基于主观和客观过度负债之间差异的过度负债衡量标准。报告还强调了社会经济和债务相关因素在评估主观和客观过度负债方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.70
自引率
18.90%
发文量
54
期刊介绍: International Journal of Bank Marketing (IJBM) aims to publish papers that relate to the marketing challenges of financial services providers around the globe. Preference is given to empirically-based research papers that expand on existing theories (or develop new ones) on customer behaviour in financial services settings. In addition, the journal is interested in helping academicians and practitioners in the field to better understand the discipline of financial services marketing, and as a result review papers and thought pieces are invited for submission.
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