This Is Your Brain On Money
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If there is one thing behavioral research has taught us, it is that human behavior is not always rational. Our judgement and decision making skills are fallible, and based on context, can fluctuate. Take, for example, how our brain understands money.
Mental accounting, which plays an instrumental role in helping us make financial decisions, explains how we treat money differently (place it under different categories) depending upon its source and its intended use. A classic explanation of the concept uses the example of movie tickets:
"Imagine you just arrived at a theatre and as you reach into your pocket to pull out the $10 ticket you purchased in advance, you discover that it’s missing. Would you fork over another $10 to see the movie? Compare that to a second scenario in which you did not buy the ticket in advance, but when you arrive at the theatre, you discover you had lost a $10 bill on the way. Would you still buy a movie ticket? "
Kahneman & Tversky (1983) used this hypothetical in their research, and although in both cases the amount of money lost equals $10, more people (88%) were willing to buy a ticket in the latter case, compared to the former. The 44% who were willing to replace the missing ticket in the first scenario felt the cost of watching the movie had doubled, since it was drawing from the money (mentally) allocated for movies, which was not the case with the lost cash.
Mental accounting also explains why small windfall gains, like a $50 lottery win, or gift cash from a friend, are more likely to be spent easily, as they are considered unexpected gains, rather than regular income. By creating mental accounts, we essentially ignore the fact that money is fungible, i.e. that all money is the same, and interchangeable.
The phenomenon also helps us understand why we tend to treat credit card payments differently from cash payments. First, credit cards “decouple” the purchase from the payment, by separating the two and delaying the payment to a later point in time. Second, they makes individual costs less salient; a $50 purchase on a $1000 bill has less impact than a $50 purchase by itself. This has its basis in loss aversion – that is, in our mind, losses are more salient than gains, and we usually seek ways to make them less noticeable, which is why credit cards are useful.
Mental accounting is just the tip of the iceberg; there are several other forces shaping our financial decisions. One key game-changer in the psychology of money is the mode of payment. In this article, we will explore two common forms of payments – cash and credit cards. We will also look at how concepts like opportunity cost, pain of paying, and others, factor into our decisions under the two contexts.
Behavioral Science, Democratized
We make 35,000 decisions each day, often in environments that aren’t conducive to making sound choices.
At TDL, we work with organizations in the public and private sectors—from new startups, to governments, to established players like the Gates Foundation—to debias decision-making and create better outcomes for everyone.
Spending with Cash vs Credit Card
Researchers at MIT (Prelec & Simester, 2001) studied willingness to pay (WTP) when using both credit cards and cash. They set up an auction for tickets to sporting events, and restricted the form of payment to either cash or card for each participant. Interestingly, participants using credit cards were prepared to pay almost twice more than those who were paying cash were willing to. That is, their WTP was almost double. These results have been corroborated in a number of studies (Raghubir & Srivastava, 2008; Finkelstein, 2009); put simply, we are ready to spend more when using credit cards. This spending behavior can be explained by the pain of paying – the moral tax (emotional distress) we experience when money is spent. Using a combination of brain imaging techniques, priming, and placebos in a series of experiments, Nina Mazar and colleagues (2016) found that pain of paying is not merely a metaphorical concept, but individuals truly experience psychological pain when making monetary purchases. They found evidence that anticipating paying with money (making the decision to purchase) did indeed activate pain processing regions in the brain, albeit those were associated with higher-order, affective pain, and not somatosensory (i.e., physical) pain. When participants were primed for affective pain, their WTP decreased, further confirming the affective nature of pain of paying.
Credits cards encourage spending because they reduce pain of paying (this is linked to loss aversion). When we hand over a ten dollar bill at a store, we see the money going away. Such transparency of payment is absent in credit cards. For one, we do not observe the money disappearing. Moreover, credit cards are always returned to the owner, further reinforcing the notion that we are not losing money. When researchers (Shah, Eisenkraft, Bettman, & Chartrand, 2015) attenuated the pain of paying, they observed a decrease in loss aversion, and increase in risky financial decisions. By making money less tangible, cards reduce the pain of paying, thus encouraging spending.
The potential future opportunities we forgo (the cost) when we expend a resource (money or time) is known as opportunity cost. We don’t always consider opportunity costs when it is crucial to do so (like when we are saving to buy a car, but spend money on an expensive handbag instead), but sooner or later, these alternate realities become apparent. Cash transactions prompt us to contemplate the consequences of financial decisions. When you only have $10 in your wallet, the decision to make one purchase would significantly affect the ability to make another purchase, making the opportunity cost of your purchase more salient. Credit cards don’t make opportunity costs prominent, hence increasing the tendency to spend without sufficiently weighing the upshots.
Psychological Factors of Spending
Although at a glance, cash may appear to be the best form of payment for responsible spending, there are other psychological factors that must be considered.
Previous research has established that we tend to overvalue our own possessions – a bias called the endowment effect. It appears that the mode of payment when purchasing can influence how much we value an item. In a study examining how “connected” we are to items bought using different modes of payment, participants, after purchasing a discounted coffee mug, were asked to quote a price to sell it back (Shah, Eisenkraft, Bettman, & Chartrand, 2015). Those who had paid with cash demanded almost $3 more than those who used credit, suggesting that we place more value (endowment effect), and are more connected, to purchases made with cash.
In a study yielding somewhat surprising results (Bagchi & Block, 2011), researchers studied whether pain of paying had any effect on impulse buying for immediate consumption. They manipulated payment mechanisms, difficulty of earning money, and level of “indulgence” (calories) in food items in a series of experiments. When the pain of payment was higher (i.e., when they used cash), participants indulged more, suggesting an attempt to offset the imputed cost of paying with cash.
Such studies provide insights into the complexities behind financial decision-making, beyond simple behavioral economic principles.
Leveraging Psychological Biases for Better Financial Decision Making
Behavioral research has worked to uncover the different ways in which we think about money. This knowledge can be used to ‘hack’ our behaviors to bring about financial and mental well-being.
The World Bank ran a study in Kenya to increase savings for health expenses, in which they provided residents with lockable metal boxes, a key, and a passbook to record saving goals and deposits. They found that, besides goal setting and increased security, the act of labelling the money for a specific use inhibited using the money towards any other purpose – coined the labelling effect. By exploiting mental accounting, where money belonging to different categories are perceived differently, the researchers succeeded in increasing savings. Similarly, partitioning money for different, specific purposes can motivate saving behavior.
Pain of Payment:
Pain of payment varies with mode and time of payment. By manipulating these factors, depending upon the context, we can maximise financial well-being and satisfaction. In a survey estimating enjoyment of visiting a health club when comparing a monthly fixed fee to hourly payments, respondents judged that the monthly fixed fee would lead to higher enjoyment (Prelec, 2009). Pre-payment for a continued experience can reduce repeated reminders of the cost, which isn’t the case in a pay-as-you-go system. Payment by credit card would further reduce the pain of paying in this scenario. For general spending with credit cards, setting up text notifications with information on amount spent and remaining balance can make the pain of paying and opportunity cost more salient, thus facilitating better financial decisions.
Simply put, friction costs are the effects of barriers to decision making. For example, although we want to save money, once the cash is in hand, it is difficult to calculate opportunity costs (financial trade-offs, i.e., choosing between a coffee at Starbucks, vs. one at Dunkin’ Donuts, or a homemade one), thus posing a difficult barrier to saving, as the temptation to spend is greater than the mental energy required to save. Friction costs can be reduced by setting up automatic savings before receiving the money (pre-commitment). This can almost double savings (Beasley, De La Rosa, & Berman, 2017), because you’ve never seen the money in the first place, hence reducing temptation, and the loss aversion associated with having to allocate this newly-received cash to a distant outcome (i.e., money saved in the future). On the other hand, escalating friction costs can also increase account deposits. During a study with Latino Community Credit Union members (Beasley et al., 2017), those seeking to cash their pay checks were required to fill out a check cashing slip, which included a suggestion about depositing some amount of the check into an account (introducing friction into the process). This small message resulted in an average deposit of $167, which has far-reaching implications for long term account deposits.
The AI Governance Challenge
The Power of Technology:
A new app in the market – Qapital, applies behavioral insights to increase savings. The app works by making opportunity costs salient, thus encouraging savings and responsible spending. According to the “Guilty Pleasure Rule” of the app, every time you indulge in a guilty pleasure, you also save a certain amount of money. Another feature rounds up the change after every purchase, which the app then automatically puts towards saving. With several such features loaded into the app, it serves as a handy reminder to make prudent financial decisions.
The above examples offer a glimpse into how small changes in the system, or useful tools like mobile apps, can help us make better choices. Research into financial decision-making and the psychology of money is a growing subfield in behavioral economics, with innovative applications aplenty.
In a world that is getting increasingly creative with triggers for spending, it makes paradoxical sense that we would turn to our own biases to help circumvent the ever-growing culture of consumerism.
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Bagchi, R., & Block, L. (2011). Chocolate cake please!: Why do we indulge more when it feels more expensive? Journal of Public Policy & Marketing, 30(2), 294-306.
Beasley, M., De La Rosa, W., & Berman, K. (2017). Choosing nurture, not nature, to improve financial decision-making in America. Stanford Social Innovation Review. Retrieved from https://ssir.org/articles/entry/choosing_nurture_not_nature_to_improve_financial_decision_making_in_america
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Mazar, N., Plassmann, H., Robitaille, N., & Lindner, A. (2016). Pain of paying? — A metaphor gone literal: evidence from neural and behavioral science (Rotman School of Management Working Paper No. 2901808; INSEAD Working Paper No. 2017/06/MKT). Retrieved from the Social Science Research Network website: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2901808
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Shah, A., Eisenkraft, N., Bettman, J. R., & Chartrand, T. L. (2015). “Paper or plastic?”: How we pay influences post-transaction connection. Journal of Consumer Research, 42(5), 688-708.
World Bank Group. (2015). World Development Report 2015: Mind, Society, and Behavior. Retrieved from https://openknowledge.worldbank.org/handle/10986/20597
About the Author
Fahima is a graduate student in Applied Psychology at Pondicherry University, India. Her research interests span the areas of group dynamics, moral decision making, and behavioural economics.