How do Americans repay their debt? The balance-matching heuristic

In Gathergood et al. (forthcoming), we studied credit card repayments using linked data on multiple cards from the United Kingdom. We showed that individuals did not allocate payments to the higher interest rate card, which would minimize the cost of borrowing, but instead made repayments according to a balance-matching heuristic under which the share of repayments on each card is matched to the share of balances on each card. In this paper, we examine whether these results extend to the United States using a large sample of TransUnion credit bureau data. These data do not have interest rates, so we cannot examine the optimality of payments. However, we observe balances and repayments, so we can examine balance-matching behavior. We replicate our analysis and find that Americans also repay their debt in accordance with a balance-matching heuristi

How do consumers avoid penalty fees? Evidence from credit cards

This is the author accepted manuscript. The final version is available from INFORMS via the DOI in this recordUsing data from multiple card issuers, we show that the most common penalty fee type incurred by credit card holders, late payment fees, declines sharply over the first few months of card life. This phenomenon is wholly due to some consumers adopting automatic payments after a late payment event, thereby insuring themselves against future late payment fees. Nonadopters, who remain on manual-only payments, experience an unchanged high likelihood of future fees, despite exhibiting ample levels of available liquidity. Our results show that heterogeneity in adopting account management features of financial products, such as automatic payments, is important for understanding who avoids financial mistakes.ESR

Workplace inequality is associated with status-signaling expenditure

Regional inequality is known to magnify sensitivity to social rank. This, in turn, is shown to increase people’s propensity to acquire luxury goods as a means to elevate their perceived social status. Yet existing research has focused on broad, aggregated datasets, and little is known about how individual-level measures of income interact with inequality within peer groups to affect status signaling. Using detailed financial transaction data, we construct 32,008 workplace peer groups and explore the longitudinal spending and salary data associated with 683,677 individuals. These data reveal links between people’s status spending, their absolute salary, salary rank within their workplace peer group, and the inequality of their workplace salary distribution. Status-signaling luxury spending is found to be greatest among those who have higher salaries, whose workplaces exhibit higher inequality, and who occupy a lower rank position within the workplace. We propose that low-rank individuals in unequal workplaces suffer status anxiety and, if they can afford it, spend to signal higher status

Solvation of gases in biodegradable ionic liquids

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