Unshrouding: Evidence from Bank Overdrafts in Turkey

Limited and Varying Consumer Attention: Evidence from Shocks to the Salience of Bank Overdraft Fees

Abstract. We explore dynamics of limited attention in the $35 billion market for checking overdrafts, using survey content as shocks to the salience of ove

Analyzing Bank Overdraft Fees with Big Data

In 2012, consumers paid $32 billion in overdraft fees, representing the single largest source of revenue for banks from demand deposit accounts during this period. Owing to consumer attrition caused by overdraft fees and potential government regulations to reform these fees, financial institutions have become motivated to investigate their overdraft fee structures. Banks need to balance the revenue generated from overdraft fees with consumer dissatisfaction and potential churn caused by these fees. However, no empirical research has been conducted to explain consumer responses to overdraft fees or to evaluate alternative pricing strategies associated with these fees. In this research, we propose a dynamic structural model with consumer monitoring costs and dissatisfaction associated with overdraft fees. We apply the model to an enterprise-level data set of more than 500,000 accounts with a history of 450 days, providing a total of 200 million transactions. We find that consumers heavily discount the future and potentially overdraw because of impulsive spending. However, we also find that high monitoring costs hinder consumers’ effort to track their balance accurately; consequently, consumers may overdraw because of rational inattention. The large data set is necessary because of the infrequent nature of overdrafts; however, it also engenders computational challenges, which we address by using parallel computing techniques. Our policy simulations show that alternative pricing strategies may increase bank revenue and improve consumer welfare. Fixed bill schedules and overdraft waiver programs may also enhance social welfare. This paper explains consumer responses to overdraft fees and evaluates alternative pricing strategies associated with these fees. The online appendices are available at https://doi.org/10.1287/mksc.2018.1106 .

Do Customers Learn from Experience? Evidence from Retail Banking

We study customers' adoption and subsequent switching decisions with regard to a menu of three-part tariff plans offered by a commercial bank. Using a rich panel data set covering 70,510 fee-based checking accounts over 30 months, before and after the introduction of the plans, we find that most customers adopt non-cost-minimizing plans, preferring plans with large monthly allowances and high fixed payments. Furthermore, after adoption, customers who exceed their allowances and consequently pay overage fees are more likely to switch to plans with larger allowances than customers who do not experience such fees. Notably, after switching, these overage-paying customers pay higher monthly payments than before. In contrast, switching customers who did not pay overage payments before switching pay less after switching. Our findings, unlike those of previous research on experience-based learning, suggest that the behavior of experienced customers does not converge to the predictions of neoclassical models. We propose that “overage aversion,” which is closely related to loss aversion and mental accounting, is the most plausible explanation for our findings. This paper was accepted by John List, behavioral economics.

A Model of Mental Accounting and Reference Price Adaptation

Consumers possess a mental account that stores the worth of items purchased and yet to be consumed. Reference prices act as the book values of these items. Movements in the account—the comparison between the reference price and the price paid at entry, and the comparison between the benefit of consumption and the reference price at exit—yield hedonic benefits. The reference price is determined by a psychological process of adaptation to the price evoked by the trade. The model is integrative in that it explains a wide array of observed anomalies such as sunk-cost effects, payment depreciation, reluctance to trade, preference for prepayment, and the flat-rate bias. The model also generates new testable implications. This paper was accepted by James Smith, decision analysis.

Borrowing on the Wrong Credit Card? Evidence from Mexico

We establish new facts about the way consumers allocate debt among their credit cards using data for a representative sample of cardholders in Mexico. We find that relative prices are weak predictors of the allocation of debt, purchases, and payments. Consumers allocate a large fraction of their debt to high-interest cards, incurring a cost of 31 percent above the minimum. Using an experiment, we find that consumers do not substitute in the price margin, although they respond to salient temporary low-interest offers. We conclude that limited attention and mental accounting best rationalize our results and discuss implications for the market.

Consumer Rationality and Credit Cards

Borrowing on credit cards at high interest rates might appear irrational. However, even low transactions costs can make credit cards attractive relative to bank loans. Credit cards also provide liquidity services by allowing consumers to avoid some of the opportunity costs of holding money. The effect of alternative interest rates on the demand for card debits can explain why credit card interest rates only partially reflect changes in the cost of funds. Credit card interest rates that are inflexible relative to the cost of funds are not inconsistent with a competitive equilibrium that yields zero profits for the marginal entrant.

Side Effects of Nudging: Evidence from a Randomized Intervention in the Credit Card Market

Abstract This paper studies the direct and indirect effects of nudging, by means of a field experiment with a financial management platform in Brazil. Reminders for upcoming credit card payments reduced credit card late-payment fees by 14%, but increased overdraft fees in checking accounts by 9%. The unintended effect is concentrated in users with a history of overdraft use. These users experienced a net increase of 5% in total fees, while the rest experienced savings of 15%. The results provide clear insights for nudge design: like any policy action, nudges can have side effects, and one size may not fit all.

Time to Act: A Field Experiment on Overdraft Alerts

Despite the growth of digital banking and the rapidly expanding offering of money management applications, a substantial proportion of banking customers still i

How Do Consumers Avoid Penalty Fees? Evidence from Credit Cards

Using 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. This paper was accepted by Gustavo Manso, finance.

Timing to the Statement: Understanding Fluctuations in Consumer Credit Use

We show that consumers spend 15% more per day in the first week following the receipt of a credit card statement than in the days just prior to the statement. This increase in spending includes both an increase in the likelihood that they use the credit card in the first weeks following their statement and an increase in transaction amount on days they use the credit card. In contrast to the effect on credit card spending, debit card spending is unaffected by credit card statement issuance, suggesting that consumers are not simply switching among modes of payment. Our estimates are based on exogenous variation from bank-assigned statement dates. We propose and test several alternative explanations to this spending puzzle: optimization of the free float, salience effect of the credit card statement, mental accounting, liquidity constraints, and automatic payments. We find that the consumers most apt to spend early in the credit card cycle tend to be those who do not revolve balances and are not close to their credit limit. Thus, this paper documents a puzzle with mixed support for several alternative explanations. This paper was accepted by David Simchi-Levi, finance.

Sending Out an SMS: Automatic Enrollment Experiments for Overdraft Alerts

ABSTRACT At‐scale field experiments at major U.K. banks show that automatic enrollment into “just‐in‐time” text alerts reduces unarranged overdraft and unpaid item charges 17% to 19% and arranged overdraft charges 4% to 8%, implying annual market‐wide savings of £170 million to £240 million. Incremental benefits from “early‐warning” alerts are statistically insignificant, although economically significant effects are not ruled out. Prior to the experiments, over half of overdrafts could have been avoided by using lower‐cost liquidity available in savings and credit card accounts. Alerts help consumers achieve less than half of these potential savings.

Do Nudges Reduce Borrowing and Consumer Confusion in the Credit Card Market?

We study nudges that turn out to have precise null effects in reducing long‐run credit card debt. We test nudges across two field experiments covering 183,441 UK cardholders. Our first experiment studies nudges added to monthly credit card statements. Our second experiment studies letters and email nudges (separate from monthly statements) sent to cardholders who signed up to automatically pay the minimum required payment. In a follow‐up survey to our second experiment, we find that 96% of respondents underestimate the time it would take to fully repay a debt if the cardholder made only the minimum required payment. The nudges reduce this confusion, but underestimation remains overwhelmingly common.

Do Liquidity Constraints and Interest Rates Matter for Consumer Behavior? Evidence from Credit Card Data

Abstract. This paper utilizes a unique data set of credit card accounts to analyze how people respond to credit supply. Increases in credit limits generate

What Do Consumers Really Pay on Their Checking and Credit Card Accounts? Explicit, Implicit, and Avoidable Costs

(May 2009)

Using AI and Behavioral Finance to Cope with Limited Attention and Reduce Overdraft Fees

<p><span>We test how effective a human-algorithm interaction is at stopping users from overdrawing their bank accounts. We use a randomized field experiment and

Always Leave Home Without It: A Further Investigation of the Credit-Card Effect on Willingness to Pay

In studies involving genuine transactions of potentially high value we show that willingness-to-pay can be increased when customers are instructed to use a credit card rather than cash. The effect may be large (up to 100%) and it appears unlikely that it arises due solely to liquidity constraints. In addition to demonstrating the effect, we provide a methodology for detecting it, and our findings suggest a source of variance to test alternative explanations.