Savers and Borrowers: Strategies of Personal Financial Management

Knowing When to Spend: Unintended Financial Consequences of Earmarking to Encourage Savings

Maintaining savings is an important financial goal. Yet there are times when savings should be spent, such as when people face unavoidable costs, and spending their savings allows them to avoid high interest rate debt. Existing behavioral research has focused on consumer decisions between savings and discretionary spending and has proposed interventions to promote savings in these contexts. However, when spending is not discretionary, such interventions could risk exacerbating a pattern found in economic research in which people borrow high interest rate debt while maintaining savings that earn low levels of interest. To examine how mental accounting interacts with considerations of personal responsibility and guilt to contribute to this pattern, this article explores whether people spend their savings when they need money most: during emergencies. Six studies reveal that people's tendency to preserve savings by borrowing from a high interest rate credit option varies as a function of the savings’ intended use. Paradoxically, people are most likely to turn to high interest rate credit with the belief that doing so is the responsible option.

When Motivation is against Debtors' Best Interest: The Illusion of Goal Progress in Credit Card Debt Repayment

The authors explore the illusion of goal progress by consumers who own multiple credit cards and pay off their debt balances to facilitate the achievement of their subgoal rather than the superordinate goal of being debt-free. The first experiment shows that debtors use their savings toward the credit card debt they can pay off entirely or substantially, even if it is associated with the smallest balance and the lowest annual percentage rate rather than toward the debt with the highest annual percentage rate. The second experiment reveals that when the income available to pay down the debt is in the form of effortless money (i.e., windfall or reward money) as opposed to hard-earned savings, the tendency to allocate money toward the smallest credit card debt is exacerbated. However, people tend to pay their debt more rationally when the number of debt accounts increases. Finally, the third experiment shows that credit card debt repayment decisions depend on the nature of the debt (hedonic vs. utilitarian) and the timing of consumption benefits (past vs. future). The article concludes with a discussion of managerial and public policy implications.

Co-holding behaviour: unlocking the puzzle

This article seeks to explain why households decide to simultaneously hold both credit and savings products. Beyond the arguments of ignorance or behavioural biases commonly used in the literature,...

Balancing Savings and Debt: Findings from an Online Experiment

Many consumers have savings and debt at the same time, and so are faced with a trade-off: how much debt to pay down versus how much savings to retain. This brie

Does Saving Cause Borrowing? Implications for the Co-Holding Puzzle

Using an experiment in which 3.1 million bank customers were encouraged to save, we explore the mechanisms behind co-holding liquid savings and credit card debt. Theoretically, we first show that the joint responses of spending, saving, and borrowing to the nudge differ for different economic models of co-holding. Using machine learning techniques, we then find that the most responsive individuals reduce spending and increase their savings by 4.9% (206 USD PPP per month) while their credit card debt remains unchanged. For them, the marginal responses to the nudge are consistent with our model of co-holding for the purpose of self- or partner control.

Financial product sensitivity predicts financial health

Abstract Recent research has aimed to understand how people consider financial decisions because they have important consequences for well‐being. Yet existing research has largely failed to examine how attitudes and behaviors vary as a function of the specific financial product (e.g., debt type). We ask to what extent people differentiate between similarly categorized financial products (e.g., debt or investment) as a function of their terms (e.g., interest costs and expected returns) and whether such differentiation predicts financial health. Across four studies, we find not only that there are individual differences in attitudes toward similar financial products (e.g., two distinct loans), but also that the extent to which a consumer is averse to high‐cost versus low‐cost products predicts financial health. This relationship cannot be fully explained by financial literacy, numeracy, or intertemporal discounting. In addition, nudging people toward differentiating between financial products promotes decisions that are aligned with financial health.

5: Behavioural biases in personal finance

Behavioural economics merges psychology and economics to explore systematic deviations in financial decision-making from traditional economic models. This chapter examines key biases such as mental accounting, present bias, planning fallacy, and misunderstanding of risk, which influence spending, saving, investing, and insuring decisions. Demonstrating the interplay of cognitive biases and heuristics highlights why individuals make suboptimal choices despite financial literacy and resource capacity. Strategies like goal-setting, commitment devices, and education interventions are evaluated, focusing on their limitations and potential for addressing these biases. The chapter concludes by emphasising the need for systemic changes, such as policy-level interventions and financial regulation, to complement behavioural interventions and address structural barriers to better financial decisions. Future research directions are suggested, including tailoring interventions, exploring technology's role, and integrating systemic solutions to support sustainable financial well-being.

Consumer Financial Decision Making: Where We’ve Been and Where We’re Going

When making purchasing decisions, consumers consider their available budget and determine what payment method they will use as well as how they will finance the purchase. Consumers must also plan for long-term consumption by considering short- and long-term savings objectives, taking into account how they will invest money saved, as well as how they will borrow needed money and repay outstanding loans. This issue of the Journal of Association of Consumer Research explores financial decision making, which we define as the accumulation and use of resources across time, as reflected by consumers’ behavior and choices.

The Credit Card Debt Puzzle: The Role of Preferences, Credit Access Risk, and Financial Literacy

Abstract. We use the 1979 National Longitudinal Survey of Youth to revisit what is termed the credit card debt puzzle: why consumers simultaneously co-hold high-interest credit card debt and low-interest assets that could be used to pay down this debt. Relative to individuals with no credit card debt but positive liquid assets, borrower-savers have very different perceptions of future credit access risk and use credit cards for precautionary motives. Moreover, changing perceptions about credit access risk are essential for predicting transitions among the two groups. Preferences and the composition of financial portfolios also play a role in these transitions.

The ABCs of Financial Education: Experimental Evidence on Attitudes, Behavior, and Cognitive Biases

This paper uses a large-scale field experiment in India to study attitudinal, behavioral, and cognitive constraints that can stymie the link between financial education and financial outcomes. The study complements financial education with (i) financial incentives on a financial literacy test to affect participant motivation, (ii) financial goal setting to provide a psychological nudge, and (iii) personalized financial counseling to enhance the intensity of treatment. The analysis finds no impact of financial incentives on learning but significant effects of both goal setting and counseling on real financial outcomes. These results identify important complements to financial education that can bridge the gap between financial knowledge and behavior change. Data and the online appendix are available at https://doi.org/10.1287/mnsc.2017.2819 . This paper was accepted by Amit Seru, finance.

Financial Literacy, Financial Education, and Downstream Financial Behaviors

Policy makers have embraced financial education as a necessary antidote to the increasing complexity of consumers' financial decisions over the last generation. We conduct a meta-analysis of the relationship of financial literacy and of financial education to financial behaviors in 168 papers covering 201 prior studies. We find that interventions to improve financial literacy explain only 0.1% of the variance in financial behaviors studied, with weaker effects in low-income samples. Like other education, financial education decays over time; even large interventions with many hours of instruction have negligible effects on behavior 20 months or more from the time of intervention. Correlational studies that measure financial literacy find stronger associations with financial behaviors. We conduct three empirical studies, and we find that the partial effects of financial literacy diminish dramatically when one controls for psychological traits that have been omitted in prior research or when one uses an instrument for financial literacy to control for omitted variables. Financial education as studied to date has serious limitations that have been masked by the apparently larger effects in correlational studies. We envisage a reduced role for financial education that is not elaborated or acted upon soon afterward. We suggest a real but narrower role for “just-in-time” financial education tied to specific behaviors it intends to help. We conclude with a discussion of the characteristics of behaviors that might affect the policy maker's mix of financial education, choice architecture, and regulation as tools to help consumer financial behavior. This paper was accepted by Uri Gneezy, behavioral economics.

On shifting consumers from high‐interest to low‐interest debt

Abstract In the United States, many consumers are increasingly accumulating debt, much of which is harmful and expensive. Prior research has devoted a great deal of attention to understanding why consumers generally get into debt and the strategies they can use to repay existing debts. While this work has furthered the agenda of helping consumers reduce or eliminate their overall debt balances, it has failed to emphasize the fact that for many consumers, debt may be unavoidable. This article aims to promote research that addresses not only overall debt reduction but also the need for consumers to shift from more to less costly types of debt. By shedding light on the psychological reasons why consumers may naturally gravitate toward more costly forms of debt when less costly ones may be available, we offer a novel perspective on why consumers get into and stay in debt longer than they should. This new angle has the potential to spur on further research into the ways consumers can use debt more effectively and less expensively in service of the overarching goal of debt reduction.

The Co-holding Puzzle: New Evidence from Transaction-Level Data

Using detailed and highly disaggregated data on household finances, we examine the<br>tendency of consumers to “co-hold” savings and debt simultaneously. The di

Credit card debt puzzle: liquid assets to pay household bills

Using transaction data from a US consumer payments diary, we revisit the credit card debt puzzle—a scenario in which households revolve credit card debt while also keeping liquid assets as bank account deposits. This scenario is very common: 42 percent of consumers in our sample were borrower-savers in 2019. We explain the puzzle by showing that consumers need their liquid assets to pay household bills and other necessary expenses, including mortgage or rent. More than 80 percent of bills by value were paid out of bank accounts and could not be charged to credit cards, so bank account balances were needed to cover those basic expenses. On average, borrower-savers’ credit card debt exceeded their liquid assets. The average borrower-saver carried almost $6,400 in unpaid credit card debt and had $5,400 in liquid assets. On average, the value of their liquid assets could cover only about 60 percent of their unpaid debt plus monthly bills. In almost every category of assets or debts, borrower-savers were worse off financially than savers. Thus, the differences between borrower-savers and savers are much broader than just their credit card debt and bank account balances; they extend to mortgage debt and home equity. Carrying a mortgage or other debt (such as auto or educational loans) is associated with a higher probability of revolving on a credit card, suggesting that various types of household debt might be complements rather than substitutes. We do not find evidence that either financial literacy scores or the “Big 5” personality traits predict whether a consumer is a borrower-saver. During the COVID-19 pandemic in 2020, bor-savs’ behavior was consistent with what we would expect under our explanation for the credit card puzzle. However, consumers’ unpaid credit card debt decreased, and their liquid assets increased, so the fraction of borrower-savers dropped to 35 percent of the sample.

Household Finance

Household financial decisions are complex, interdependent, and heterogeneous, and central to the functioning of the financial system. We present an overview of the rapidly expanding literature on household finance (with some important exceptions) and suggest directions for future research. We begin with the theory and empirics of asset market participation and asset allocation over the life cycle. We then discuss household choices in insurance markets, trading behavior, decisions on retirement saving, and financial choices by retirees. We survey research on liabilities, including mortgage choice, refinancing, and default, and household behavior in unsecured credit markets, including credit cards and payday lending. We then connect the household to its social environment, including peer effects, cultural and hereditary factors, intra-household financial decision-making, financial literacy, cognition, and educational interventions. We also discuss literature on the provision and consumption of financial advice.

Does Saving Cause Borrowing? Implications for the Coholding Puzzle

ABSTRACT Using an experiment in which 3.1 million bank customers were encouraged to save, we explore the mechanisms behind coholding liquid savings and credit card debt. Theoretically, we show that the joint responses of spending, saving, and borrowing to the nudge differ across economic models of coholding. Using machine learning techniques, we find that the most responsive individuals reduce spending and increase savings by 4.9% (206 USD PPP per month) while their credit card debt remains unchanged. These individuals' marginal responses to the nudge are consistent with our model of coholding for the purpose of self‐ or partner‐control.