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The purpose of this study is to examine the association between financial capability and informal bankruptcy, especially among families in which the respondent and/or spouse borrowed student loans to fund their own education and families that did not have such loans.

US nationally representative data were employed. Three family types were used, families with student loans borrowed to fund respondent and/or spouse's education and education was completed (type 1 holders) or not completed (type 2 holders), and families that did not borrow student loans for respondent and/or spouse's education (non-holders). Informal bankruptcy was measured by being insolvent and late in debt payment for 60 or more days. Financial capability was measured by both an index and its various components. Multivariate logistic regressions were conducted to examine associations between financial capability and informal bankruptcy.

Generally, financial capability was negatively associated with informal bankruptcy, and student loan holders were more likely to be informally bankrupt than non-holders. However, such negative associations were statistically significant for type 1 holders and non-holders but insignificant for type 2 holders. Two desirable financial behaviors (information search and online banking) reduced the chance of informal bankruptcy for type 2 holders.

First, cross-sectional data cannot establish a causal relationship. Second, findings using data from a single country may not be generalized to other countries.

Financial service professionals should help loan applicants evaluate the necessity of borrowing. Banking professionals can use the findings to develop products to meet different consumer needs. Financial educators should target different groups with different strategies in financial capability education. Policymakers should develop policies helping student loan holders complete education funded by student loans.

This study examines factors related to informal bankruptcy, providing insights to warning signs of bankruptcy. This study explores the potential effect of a new factor, financial capability, on informal bankruptcy, filling in a gap in the bankruptcy literature. This study recognizes differences in informal bankruptcy among various types of families and examines the different effects of financial capabilities on informal bankruptcy for different types of families.

The purpose of this paper is to measure the antecedents of students' attitude and the impact of students' attitude on the intention to repay study loans.

Primary data from 428 students in universities in Malaysia are collected and six constructs from theory are identified: perceptions that loan repayment will affect the quality of life after graduation; awareness of loan repayment issues created by media; perceptions towards loan agreement; parental influence; students' attitude towards loan repayment; and intention to repay loan. Structural equation modelling approach is adopted to analyze the data.

Constructs of parental influence and perceptions that loan repayment will affect the quality of life after graduation are found to have a direct relationship with students' attitude towards loan repayment; perceptions towards loan agreement is found to influence belief that loan repayment will affect the quality of life after graduation; and awareness of loan repayment issues created by media is found to affect parental influence. The relationship between students' attitude and intention is found to be statistically positive and significant.

The study has been conducted in aggregate form. Future studies could account for ethnic, gender, and regional differences.

The primary users of the results of this study would be the countries that provide education loans, and keen to cut down on student loan defaults.

The study is first of its kind to approach the issue of student loan defaults in a multi‐method manner and develop a comprehensive theoretical model that can be put to empirical test by future researchers.

This paper aims to examine the relationship between student loan debt and first-time home buying among college graduates aged 23 to 40 years old in the USA.

The authors use the Federal Reserve’s 2019 Survey of Consumer Finances data on American households to present descriptive statistics and run logistic regressions that measure the effects of student loan debt on first-time home buying. The authors also present original survey data of mortgage lenders that provides an industry-level perspective.

The authors find that having student loan debt does not by itself prohibit first-time home buyers. On the contrary, having student loan debt increases the likelihood of homeownership by 15.1%. People with student loan debt, however, buy homes that are 39.2% less expensive and have 58% less home equity compared to first-time home buyers without student loans. In addition, it is found that the amount of student loan debt is important. People with student loan debt above the median amount among people with student loan debt ($35,000) are 27% less likely to be first-time home buyers.

This paper provides public policy analysts and other researchers a different perspective on the correlation between student loan debt and home buying. This study focuses narrowly on first-time home buyers who are college graduates between 23 and 40 years. Thus, capturing the youngest cohort of first-time home buyers and examine the primary factors that influence their home buying decisions.

First-time homebuyers are historically the largest segment of home buyers making them an important subcategory to study. The rise in student loan debt is posited to explain declining homeownership among younger people. The current literature on student loan debt and home buying often studies samples that are too heterogeneous resulting in mixed findings. This paper adds to the existing literature by filtering the sample to study the effects of student loan debt and first-time home buying among people with at least a college degree who are between 23 and 40 years.

National student loans help solve the problem of tuition fees for students from poor families to a great extent. This paper aims to study the behavior of three main players involved in university student loans, namely, universities, banks and students and explores necessary conditions for promoting the steady development of student loans, as well as the sustainability of cooperation and coordination among players, thus promoting the further development of student loans.

First, from the perspectives of the three related players of banks, students and universities and their behavior, this paper establishes a three-player behavioral evolutionary game model, conducts a sustainable game analysis among the different players, and by replicating the dynamic equations with the Jacobian matrix solve the evolutionarily stable strategy. Finally, applying MATLAB tools, a sensitivity analysis of relevant impacting factors is carried out to explore the influencing mechanism of the sustainable development of student loans.

To achieve the mechanism of mutual coordination and cooperation between participants, banks need to be guided to actively issue student loans and conduct strict loan review. College students should be encouraged to establish good credit and strengthen penalties should be implemented for violations of regulations. Universities should be encouraged to help banks reduce information asymmetry, promote financial knowledge and student integrity education and promote the sustainable development of national student loans.

This research will help scholars better understand the interaction mechanism among universities, banks and students, and promote the sustainable development of national student loans.

This paper aims to develop, refine and validate a multidimensional scale for measuring students’ attitude toward educational debt for higher studies in Punjab (India) and the impact of this attitude on the satisfaction of students.

The study uses interview and survey approach. The sample comprises 417 students from four public and four private universities of Punjab (India). Exploratory factor analysis and confirmatory factor analysis have been used to develop and validate students’ attitude toward education loan scale (Morgado et al., 2017). Further, structural equation modeling (SEM) has been used to analyze the impact of factors of students’ attitude on their satisfaction.

The scale has been tested for both reliability and validity. Analysis has revealed six factors of students’ attitude toward educational debt, namely, economic empowerment, social empowerment, utility, procedural requirements, risk and stress. These, six independent variables and one dependent variable, i.e. students’ satisfaction, were entered into structural equation model. The structural equation model shows that procedural requirements, economic empowerment and utility have a positive, whereas stress has a negative and significant impact on the students’ satisfaction.

Education financing is a gigantic problem nowadays due to the high cost of self-financing courses in Punjab. To make higher education accessible to all students, education loan plays a vital role. Thus, the attitude of students is of great importance to policymakers to bring reforms in education loan scheme.

To the best of the authors’ knowledge, this study is the foremost study for developing a validated tool to measure the students’ attitude toward educational debt in India.

This paper aims to investigate the determinants of taking out government‐funded student loans for university study in Australia.

The paper uses an ordered probit model to quantify the influence of the various factors which affect students' decisions on funding their tertiary study using student loans or through other means.

The study finds that the probability of taking out student loans for the full cost of university is largely influenced by students' socioeconomic status. Other major influences on this decision include students' demographic and university enrolment characteristics.

A limitation of the work is that only a neighbourhood (rather than an individual‐level) measure of socioeconomic status was available, and future research should seek to address this.

The research shows that the parameters of loan schemes do not seem to be able to over‐ride the influence that family background has on loan taking behaviour. That is, poor students use loans regardless of the parameters of the loans scheme in order to overcome short‐term credit constraints. In other words, these student loan schemes channel funds to those without other means of funding their higher education.

By showing the impact that income contingent provisions have on loan taking behaviour, the paper informs policy makers of potential impacts from modifying loans schemes to reflect this characteristic.

Research shows that having student loan debt in retirement is associated negatively with life satisfaction, suggesting that student debt is a bane of retiree well-being. The rationale for this study is to determine the factors related to owing student debt in retirement, given the adverse effects on the well-being of retired households.

The study utilizes pooled cross-sectional data from the 2015 and 2018 U.S. National Financial Capability Study. The empirical analysis uses a sample of retired Americans aged 65 years and older (N = approximately 8,000) and estimates two-block logistic regression models to examine the effects of demographic, socioeconomic and behavioral factors on student loan indebtedness in retirement. A sensitivity analysis is performed for the subsample of retirees holding student debt for their children's education. Statistical interpretations use odds ratios.

The findings indicate that financial literacy, age, homeownership and high subjective financial knowledge are associated with a low likelihood of holding student loan debt in retirement. However, being Black, having postsecondary education, having difficulty covering expenses, having financially dependent children, having high-risk preferences and spending more than income increase the likelihood of holding student debt in retirement. The ensuing discussion will assist financial planners and educators identify practical ways to shape decisions regarding student loan debt in retirement.

The amount of student loan debt is unavailable in the dataset for analysis. One cannot infer causal relations from the study. The factors examined do not reflect the time the student loan was obtained.

The study focuses on the determinants of student loan indebtedness among retired Americans rather than young adults or older adults on the verge of retirement. The paper enhances the understanding of student loan holdings in the decumulation phase of the life cycle. Many US individuals have low retirement savings from which they draw a retirement income. The more the student debt burdens on retired Americans, the greater the likelihood of outliving their resources and experiencing poverty.

In 1997, Congress enacted legislation to transition the Student Loan Marketing Association (Sallie Mae) from status as a government-sponsored enterprise (GSE) to a fully-private, non-federally chartered organization. The process through which this legislation was enacted will have precedential value for future legislation affecting other GSEs.

This article reviews the unique context in which the Sallie Mae Privatization Act was considered and enacted. Sallie Mae was an active participant in the development of the privatization legislation, and Congress had little precedent in considering the diverse interests of stakeholders such as other entities involved in student loans, taxpayers, and Sallie Mae shareholders. Full assessment of the 1997 legislation requires a review of how the “privatizing” of Sallie Mae changes the student loan marketplace.

Despite the introduction of structural reforms to the students' loan scheme (SLS) in Ghana's higher education sector, patronage is still low. This paper aims to examine the complexity of technological and behavioural factors underpinning the low rate of students' loan adoption in Ghana. It further contributes to the body of knowledge by exploring the moderating role of financial knowledge in the hypothesized relationships.

Using a positivistic research approach, a sample of 700 tertiary students with experience in accessing SLSs were surveyed. An 88% response rate was realized and the data analysed using descriptive statistics, exploratory and confirmatory factor analysis.

Four dimensions of technological factors (relative advantage, trialability, observability and compatibility) and two of behavioural factors (attitude and control behaviour) were positively related to adoption of the SLS. Financial knowledge only moderated the relationship between compatibility, attitude, behavioural control and students' loan adoption.

Financial knowledge plays a critical role in influencing the investment decisions of people. Management of SLSs needs to offer financial education to targeted parents/students to clear misconceptions. It is also imperative that all other technical challenges are addressed to enhance adoption rates for the SLS. Review of guarantor requirements is needed also.

This paper introduces financial knowledge as a moderating variable to investigate the hypothesized relationships. It offers a developing country insight into how technological/behavioural factors and financial knowledge might be impacting adoption of SLSs.

This study investigates the relation of bank loan delinquencies to Fed Survey delinquency data from 2003 to 2017. Bank-generated loans have lower delinquencies than all Fed Survey loan types. Survey mortgage and auto loan delinquencies are positively related to bank loan delinquencies indicating complimentary delinquency decisions for borrowers. Conversely, student loans delinquencies are negatively related to bank loans, consistent with borrowers substituting student loan payments for bank debt for the entire sample period. Student loan delinquencies are negatively related to per-capita bankruptcy, and all other types of debt have a positive relation. The relation between Fed Survey loan delinquencies and bank-generated loan delinquencies is time varying and changed after the financial crisis in 2008.

Seemingly Unrelated Regression is used to study delinquencies for three bank loan types and whether or not they are related to Fed Survey loan delinquencies. The sample is split into pre-financial crisis before 2008 and post-crisis after 2008.

Seemingly Unrelated Regression (SUR) results show that bank delinquencies for second mortgages and “Other” loan types are consistently complementary to Fed Survey mortgage loan delinquencies. Fed Survey auto loans delinquencies are also consistent with a complimentary relation, and these results are largely driven by the relation after the financial crisis of 2008 since pre-crisis regression results are not significant for every dependent variable. Credit card loan delinquencies have a negative and substitute relation with bank-generated first mortgage loan delinquencies prior to the crisis in 2008, and with bank-generated second mortgages after the crisis. Conversely, student loan delinquencies from the Fed Survey are negatively and significantly related to bank mortgages for the entire sample period, but only with bank-generated first mortgages after 2008. The student loan delinquency results are consistent with income smoothing, on average, although this is not explicitly tested at the micro level since this study uses macro-level data and not borrower-specific data. These findings are also consistent with conventional wisdom that student loans provide “financial slack” and borrower flexibility.

A limiting factor is this study uses macro-level data and not borrower-specific data.

Empirical findings are consistent with prior research that student loans provide income smoothing and “financial slack,” and borrowers with payment challenges will pay other debt before student loans.

Borrowers in financial trouble tend to be delinquent for all debt, and more so for student debt.

To investigate whether Fed Survey delinquencies of auto loans, first mortgages, student loans and credit card loans from all sources have complementary or substitution effects with bank debt at a macro level. The study investigates whether bank debt follows “market trends” as a complementary effect, or if bank debt has a negative relation to other debt indicating a substitution effect.