Fueling the Credit Crisis: Who Uses Consumer Credit and What Drives Debt Burden?

Excessive household debt contributed to the worst recession in decades. Insights about borrowing and spending behavior can inform economic recovery forecasts, policy decisions, and financial education. This study identifies life cycle and credit attitude as key determinants of who uses debt. Younger households are more likely to borrow for consumption, as are those who believe that it is all right to borrow to purchase luxury goods or cover living expenses. Furthermore, households that condone borrowing for these purposes have a higher consumer debt burden. Debt capacity (or creditworthiness) and financial discipline are also significant factors in determining household debt use.     

Does Student Loan Debt Contribute to Racial Wealth Gaps? A Decomposition Analysis

There is evidence of a large and growing student debt burden over the last decade. Previous research has shown that the presence of student debt jeopardized the short‐term financial wealth of U.S. households during the Great Recession. We examine the effects of student loan use on the wealth of U.S. households post‐recession, using recent data from the 2013 and 2016 Survey of Consumer Finances. We find that mean 2016 wealth for households with no outstanding student debt is more than four times higher than households with student debt. We find that living in a household at the 15th, 30th, 50th, 70th, and 85th percentile of the wealth distribution with student debt is associated with an 80%, 49%, 37%, 35%, and 36% wealth loss compared with a similar household with no student debt. Our decomposition results suggest that student loan use can explain between 3% and 7% of the Black‐White wealth gap across the wealth distribution but is insignificant in explaining the Hispanic‐White wealth gap.     

Credit card usage and consumer debt burden of households

The primary objectives of this study were to examine changes in credit card usage and the amount of debt between 1982 and 1986 and to identify factors influencing the amount of and changes in consumer debt held by households. Personal interviews were completed in 1982 and again in 1986 with the money managers of households in a small midwestern town in the U.S.A. The sample consisted of the 123 households that were represented both in the 1982 and 1986 surveys. Paired-samples t-tests were used to identify changes over time. Significant differences were found between 1982 and 1986 total household assets and total amount of debt. Regression analysis indicated that significant predictors of the amount of consumer debt burden were age, net income, total assets, and the degree to which managers felt comfortable with debt. Younger money managers were more likely to make larger monthly debt payments and have more consumer debt. Households with larger incomes and higher levels of assets also had higher total debt. Significant predictors of change in debt burden over the 4-year period were change in net income and total assets, with year-end savings being negatively correlated with consumer debt.     

Out‐of‐Pocket Health Care Expenditure Patterns and Financial Burden across the Life Cycle Stages

This study examines out‐of‐pocket health care expenditure patterns of households and the financial burden of health care costs over the stages of the household life cycle, using the 1995 Consumer Expenditure Survey. The elderly households not only spend more for health care, but they also experience higher financial burdens than other households. Insurance status, liquid assets, life cycle stage, household size, education, and self‐employment status are significant factors affecting the household budge share of health care expenses.     

Debt as a source of financial stress in Australian households

This paper examines the role of demographic, socio‐economic and debt portfolio characteristics as contributors to financial stress in Australian households. The data are drawn from the most recent Household Expenditure Survey and relate to 3268 probability‐weighted households. Financial stress is defined, among other things, in terms of financial reasons for being unable to have a holiday, to have meals with family and friends, to engage in hobbies and other leisure activities, and general money management. Characteristics examined include family structure and composition, source and level of household income, age, gender and marital status, ethnic background, housing value, debt repayment of various types and credit card usage. Binary logit models are used to identify the source and magnitude of factors associated with financial stress. The evidence provided suggests that financial stress is higher in families with more children and those from ethnic minorities, especially when reliant on government pensions and benefits, and lower in families with higher disposable incomes and housing values. There is weak evidence that Australia's historically high levels of household debt cause financial stress.     

Parental financial support: A safety net for young adults with debt problems

Parental financial support benefits young adults in societies with decreasing welfare‐state support and a pattern of early home‐leaving. This article focuses on the association between young adults’ debt problems and parental financial support: the extent to which indebted young adults receive financial help from their parents. We also investigate the extent to which specific benefits are associated with debt problems or parental financial support. The data were gathered in an online survey conducted among 18‐to‐35‐year‐old Finns (n = 1,019). The results revealed, first, that many parents safeguard their indebted adult children’s lives by means of financial support and second, that heavy cash‐welfare‐benefit users are particularly likely to receive parental financial support. Our analysis also revealed that the prevalence of debt problems as well as of parental financial support were especially high among those who had received social assistance, sickness benefit or labour‐market subsidy within the previous 12 months. In a society open to new social risks as well as to debt problems, young people who lack financial support from their parents have a rockier transition to adulthood than those who receive support.     

The increasing financial obligations burden of US households: who is affected?

The purpose of this paper is to examine factors associated with changes in the proportion of households with high financial obligations ratios in the United States. The proportion of households paying more than 40% of income for debt, rent, vehicle leases, property taxes and homeowners’ insurance, which we refer to as having a heavy burden, increased from 18% in 1992 to 27% in 2007. Multivariate analysis of a combination of six Survey of Consumer Finances data sets indicates that the likelihood of having a heavy burden was positively associated with homeownership, self‐employment and retirement status. Those with an optimistic 5‐year expectation of the economy were more likely to be in a household with a heavy burden. Education was positively related to having a heavy burden, suggesting that having a heavy burden is not simply a cognitive error.     

Differences in the use of bank and retail credit cards in the U.S.A.

Data from the 1989 Survey of Consumer Finances¹ were analysed to find factors related to credit card use in U.S. households. Factors associated with the probability of using only retail cards were being a female-headed household, being older and being in a blue collar occupation. The use of bank cards only was associated with male heads of households, renting and a negative attitude toward credit. The use of both retail and bank cards was associated with a positive attitude toward credit, being in a professional or managerial occupation and home ownership. The results provide insight into credit card use and should help target educational efforts to those most likely to experience debt problems related to extensive use of credit cards.     

The crowding-out effect of elderly support expenditure on household consumption from the perspective of population aging: Evidence from China

The pace of aging in China is accelerating, from the introduction of family planning to the liberalization of the two-child policy, with a growing proportion of families in the 4–2-1 structure. With filial piety in mind, most adult children will live with their elderly parents and share income and expenditure. Concurrently, due to the inadequacy of the social security system, a heavy supplementary burden of supporting the elderly has been placed on adult children. Based on data from the 2011, 2013, 2015, and 2017 Chinese Social Survey (CSS) of the Chinese Academy of Social Sciences (CASS), this study analyzes the objective factors affecting household elderly support expenditure using the ordinary least squares (OLS) estimation method. It also examines the crowding-out effect of elderly support expenditure on the consumption of different types of households through a panel generalized method of moments (GMM) approach. Finally, the crowding-out effect of elderly support expenditure is discussed in a sub-sample according to the number of households needing to support the elderly aged 60 and above. The empirical results illustrate that there is a crowding-out effect of elderly support expenditure on household consumption, and the magnitude of the crowding-out effect varies for diverse consumption. Our study reveals that the crowding-out effect of elderly support expenditure on core consumption is the largest in a sample with different numbers of elderly persons in families. The empirical results for the sub-sample show that the larger the elderly population, the stronger the crowding-out effect of elderly support expenditure on core consumption and the less pronounced the effect on marginal consumption.     

较发达地区农户参与农信社小额信贷程度的影响因素分析——基于苏北金湖农户“直接意愿”调查的实证检验

结合农户借贷行为特征,采用江苏省金湖县273个农户实地调查数据,通过基于"直接意愿调查法"的二元Probit模型,从需求和供给两方面实证分析中国较发达地区农户小额信用贷款的现状及影响因素,结果显示,外出务工人数、农村家庭大额非日常支出、农户人际关系的强弱和正规社会资本资源显著影响农户小额信贷的需求,而非农收入比重、农户兼业类型及地区人均贷款显著影响农户获得小额信贷的概率。因此,重视和挖掘农户潜在信贷需求,改进信贷产品服务和质量,满足农户多样化的资金需求,才是实现农村小额信贷的可持续发展之道。     

Health Shocks,Out‐of‐Pocket Medical Expenses and Consumer Debt Among Middle‐Aged and Older Americans

We examine two important issues related to health and financial burden in middle‐aged and older Americans: (1) whether or not new health events affect a consumer's unsecured debt, and (2) to what extent the associated out‐of‐pocket medical expenses (OOP) contribute to unsecured debt. We use six biennial waves (1998, 2000, 2002, 2004, 2006 and 2008) from the Health and Retirement Study (HRS). We estimated fixed effects models and conducted mediation analyses. We find that new health events affect the accumulation of unsecured debt. Our estimates suggest that new health events increase unsecured debt by 6.3% ($230) to 9.3 % ($339); approximately 20% of the increase in unsecured consumer debt comes from OOP when experiencing new health events. New severe health events increase debt for the 50–64 age group, but do not increase it for the 65+ group.     

Changes in factors influencing consumer debt among Scottish families, 1984—1987

The major objective of this study was to determine socio-economic and debt management factors causing debt problems among Scottish families. Data for this study were collected from the records of the debt counselling segment of the Citizens Advice Bureau in Glasgow, Scotland, during 1984–87. The final sample consisted of 404 cases selected at random. Variables selected for the study included the following socio-economic characteristics: sex, household size, marital status, employment status, sources of income, and total income. Debt variables included in the study were total debt, sources of debt, amount of debt from each source, and total monthly debt payment. Total debt owed by debtors increased by 283% over the 4 year period from 295,113 in 1984 to 836,409 in 1986. The majority of the households had debt to income ratio of 0.50 and on the average owed on eight different types of loans. The largest proportion of debtors (87%) borrowed from finance companies and the largest sums of total debt were also owed to finance companies (52%). Finance companies consistently held this position over the 4 year period. The analysis of variance (ANOVA) results indicate that employment status, number of sources of borrowing, marital status and sex significantly explained the variation in total debt burden. The number of sources is an important factor in debt management. As the numbers of sources of borrowing increases, not only the management of transactions gets complicated and one can easily lose sight of total debt burden, but it also indicates that people start borrowing from high cost sources of borrowing, such as store credit and finance companies. Educators need to emphasize the importance of the variation in cost of borrowing related to various sources in their materials, and these educational efforts should be targeted to females, singles and those who are recently separated and divorced.     

Gender Differences in Debt Repayment Problems after Divorce

Studies have shown that a growing number of divorced women were experiencing debt repayment problems during the 1980s. This study uses data from the Panel Study of Income Dynamics to (1) examine how debt repayment problems differ by marital status and gender and (2) investigate the role that supplemental income payments play in helping to mitigate repayment problems. The results show that divorced men and women are more likely to default on their debt obligations than married households. Further analysis reveals that increases in welfare payments significantly decrease the likelihood of default for divorced women but do not affect the probability of default for divorced men and married households. There is no evidence that payments related to child support and alimony affect default rates. The findings suggest that welfare benefits may help to mitigate the economic consequences of divorce for women.     

Limitations of Combining Hispanics and African Americans for Analysis of Credit Problems

This study uses a combination of six Survey of Consumer Finances data sets to examine whether factors affecting credit delinquency differ by the racial/ethnic identity of households. Hispanic households are less likely than white households and white households are less likely than African American households to be delinquent. Our full model with interaction terms shows that the effects of financially adverse events, financial buffers and debt burden on the debt delinquency differ across racial/ethnic groups. Combining African American and Hispanic households into one racial/ethnic minority group as previous studies have done can be problematic.     

Keeping Up With the Joneses: Analyzing the Effect of Income Inequality on Consumer Borrowing

Household debt relative to disposable income increased from 60% in 1980 to 104% at the end of 2003. ‘Buying on credit’ has become so popular that an increasing number of firms generate more profit from financing than from selling their products. In this paper, we show that rising income inequality has substantially contributed to increased consumer borrowing. Income inequality affects all components of total household debt, but the impact is strongest on non-revolving debt (installment loans), which is used to finance the purchase of consumer durables. We argue and provide evidence that the income inequality effect on consumer borrowing is a result of conspicuous consumption. Rising income inequality has forced households with smaller income gains to use debt to keep up their consumption level relative to households with larger income gains.JEL Classification: D12, G29, J31, M30     

The Use of Telephone Directories as a Sample Frame: Patterns of Bias Revisited

A study was undertaken to reassess the utility of using telephone directories as a sample frame. A survey research unit within the Genesee County Health Department of Flint, Michigan, randomly sampled 1,031 households from the city of Flint using a complete listing of dwellings within the city as a universe. In addition to the normal interview schedule used, households were given a supplemental questionnaire on telephone service. The adult household respondent was asked if the household had a telephone and, if not, why. If the household had a telephone the respondent was asked if the number was listed in a phone directory or not. If the phone was unlisted, the respondent was asked why. The results were quite similar to those found by past research. There were a number of statistically dependent relationships found between whether or not households had listed or unlisted phones and various characteristics of household heads as well as other household features. It is concluded that using a telephone directory as a sample frame may lead to a significant sampling bias. Telephone sampling can still be a useful marketing tool if random digit dialing is used. This latter suggestion is briefly discussed.     

Credit Card Indebtedness and Psychological Well‐Being Over Time: Empirical Evidence from a Household Survey

While a number of studies have investigated the relationship between debt and psychological well‐being, none so far has explored if and how this relationship evolves over time. We seek to fill this gap in the literature by empirically analyzing the impact of household credit card debt on debt stress. Using cross‐sectional data collected by The Ohio State University's Consumer Finance Monthly survey between August 2008 and December 2010, we construct a debt stress index and categorize households into three groups based on the length of credit card indebtedness. Our empirical results provide statistical evidence of time‐varying impacts of credit card debt on stress levels. Specifically, we find that debt stress for short‐run debtors is more than twice that of long‐run debtors. The results are robust across a range of econometric specifications.     

Household Economic Security and Public Policy

There are three challenges to household economic security: Slow income growth at the lower and middle parts of the income distribution, swings in households’ use of debt and leverage, and large numbers of households with low savings. Appropriate policy responses to these include increasing worker skills through greater opportunities for education and training, removing barriers to labor force participation, strengthening the safety net, improving access to credit while reducing exposure to harmful aspects of debt use, and making retirement savings easier and more automatic.     

Determinants of Fresh and Frozen Fruit and Vegetable Expenditures in Turkish Households: A Bivariate Tobit Model Approach

In this study, we have identified the effects of socio-demographic and economic factors of household heads and households on monthly expenditures of fresh and frozen fruit and vegetable in Turkey using the bivariate Tobit model. The results show that both the probability and monthly spending levels of household fruit and vegetable consumption increase with increasing in age of household heads, educational levels of household heads, married household heads, household income, and the number of adults in a family, while male-headed households, working household heads, the households that receive in-kind help from the government or private sector, and the use of internet at home decrease both the likelihood and spending levels of fruit and vegetable consumption in Turkey. The results in the study may contribute to the stakeholders to identify and implement effective marketing strategies and also develop more effective policies for the government to improve nutritional levels for certain dwellings for which the government include them in the certain state-initiated benefit program.     

Examining the impact of consumer debt on parent-child interaction

The purpose of this study was to examine the possible relationship between consumer debt and several aspects of parent-child interaction, namely time spent by parents with their child(ren). affectionate interaction between parents and children and disciplinary parent-child interaction. A small, positive relationship was found between consumer debt and disciplinary parent-child interaction. No meaningful relationship was found between consumer debt and parental time spent with child(ren) or affectionate parental-child interaction. Age and number of children are more reliable correlates of parent-child interaction than is amount of household consumer debt.