We tend to underestimate our future expenses – here’s one way to prevent that

Stock photo | Photo by Lari Bat/iStock / Getty Images Plus, St. George News

FEATURE (THE CONVERSATION) — When asked to estimate how much money they would spend in the future, people underpredicted the total amount by more than C$400 per month. However, when prompted to think about unexpected spending in addition to typical expenses, people made much more accurate predictions.

These are the main findings of a series of studies and experiments that we conducted and which have just been published in the Journal of Marketing Research.

In our first study, we began by asking 187 members of a Canadian credit union to predict their weekly spending for the next five weeks. Then, at the end of each week, we asked them how much they actually spent.

For the first four weeks, people underpredicted their weekly spending by about $100 per week or $400 for the month.

In the study’s fifth and final week, we ran an experiment to see if we could improve people’s prediction accuracy.

Stock image | Photo by Slphotography/ iStock/ Getty Images Plus, St. George News

Specifically, we randomly assigned participants to one of two groups. In group one, participants estimated their spending for the next week just as they had done in previous weeks. These folks once again significantly underpredicted their spending.

In group two, participants were asked to think of three reasons why their spending for the next week might be different than usual before making their estimate. This led them to make higher and much more accurate predictions – coming within just $7 of what they actually spent.

Importantly, participants in each group spent roughly the same amount of money that week, on average. The only difference between the two groups was whether they accurately predicted that amount.

Next, we conducted nine experiments to better understand why people underpredict their spending and whether being prompted to think of unusual expenses helps improve accuracy. In all, over 5,800 people participated in these experiments, including a representative sample of U.S. residents.

These experiments revealed two important insights.

First, people primarily base their spending predictions on typical expenses like groceries, gasoline and rent. They usually fail to account for irregular – though still common – expenses like car repairs, last-minute concert tickets or one-off health care bills. This is what leads to underprediction.

Man’s hands protect piggy bank on wood table. Save money and financial investment, location and date unspecified | File photo by
marchmeena29/iStock / Getty Images Plus, St. George News

Second, prompting people to think of irregular expenses in addition to typical expenses helps them to make more accurate spending predictions. In our studies, people did not factor in atypical expenses unless we asked them to do so.

Why it matters

Helping people improve the accuracy of their spending predictions could help them improve their financial well-being.

Underpredicting expenses can be costly. For example, 12 million Americans borrow a total of more than $7 billion in payday loans each year because they can’t meet their monthly expenses. These loans typically have extremely high-interest rates – more than 250% in some states.

Payday loans also come due in full so quickly that around three in four borrowers end up borrowing again to pay off the original loan.

If consumers could better anticipate how much money they will spend in the future, it might help motivate them to spend less and save more in the present.

In fact, one of our studies shows that our suggested prediction strategy not only boosted spending estimates, it also increased intentions to save.

What’s next

Members of our research team are currently investigating if, when and why underpredicting one’s expenses may be beneficial. For example, if a person sets an optimistically low budget and actively tracks their spending against it, does that help them reduce their spending?

We are also investigating whether people who work in the gig economy show a corresponding tendency to mispredict their future income.

Written by RAY CHARLES “CHUCK” HOWARD, Texas A&M University; ABIGAIL SUSSMAN, University of Chicago; DAVID J. HARDISTY, University of British Columbia, and MARCEL LUKAS, University of St Andrews.

This article is republished from The Conversation under a Creative Commons license. Read the original article here.

Copyright 2022 The Conversation. All rights reserved. This material may only be published, broadcast or redistributed under The Conversation's republishing guidelines.

Free News Delivery by Email

Would you like to have the day's news stories delivered right to your inbox every evening? Enter your email below to start!