Why do we think less about some purchases than others?

Mental Accounting

, explained.
Bias

What is Mental Accounting?

Mental accounting, also known as mental accounting theory, explains how we tend to assign subjective value to our money, usually in ways that violate basic economic principles.1 Although money has consistent, objective value, the way we go about spending it is often subject to different rules, depending on how we earned the money, how we intend to use it, and how it makes us feel.

The image illustrates "Mental Accounting" with a stick figure holding a $1,000 bill, comparing three perspectives: the literal value ("Piece of Paper"), the social value ("$1,000 of Fungible Value"), and the mental allocation of the amount into specific categories like shoes, food, and a custom portrait of a dog.

Where this bias occurs

Imagine you’re walking down the street, and you happen to find a $100 bill lying on the sidewalk. Ordinarily, you’re a pretty frugal person, and you’ve been trying to save some money to put towards buying a car in the future. Today, however, you take your newfound $100 and put it towards an expensive dinner. You tell yourself that this money isn’t “car money”—this is a one-off, special occasion, so why not treat yourself to a nice evening out? Your mental categorization of the $100 bill as different is an example of mental accounting at work.

Mental accounting is a concept from behavioral economics that describes how individuals categorize, evaluate, and manage money in different mental “accounts” rather than treating all money as fungible (easily interchangeable with something else of the same kind and value). One common distinction is between "happy money" (such as windfalls, birthday money, or bills found on the street) and "unhappy money" (the hard-earned money we use for utilitarian consumption).23 Mental accounting can lead to irrational financial behaviors, such as overspending, misallocating resources, or making riskier decisions with "found money." Understanding this cognitive bias, and the effect it has on us, can help individuals and organizations make better financial choices by treating money more objectively.

Although commonly associated with finances and budgets, mental accounting can also extend beyond money. People often create mental categories for different aspects of their lives, such as time, effort, and emotional investments, influencing how they make decisions and allocate resources.

Take time management, for instance. Depending on the context and the activity, we often treat time very differently. An individual might willingly spend hours binge-watching a favorite TV series but feel reluctant to spend the same amount of time learning a new skill, even if both activities are forms of personal investment. The same applies to emotional effort. Even if we feel exhausted after a long workday, we might still find the energy to socialize with friends because we categorize work-related exhaustion differently from social exhaustion.

Related Biases

Sources

  1. Thaler, R. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199-214. https://doi.org/10.1287/mksc.4.3.199
  2. Mental accounting. (2019, March 28). The BE Hub. https://www.behavioraleconomics.com/resources/mini-encyclopedia-of-be/mental-accounting/
  3. Zhang, C. Y., & Sussman, A. B. (2018). Perspectives on mental accounting: An exploration of budgeting and investing. Financial Planning Review, 1(1-2), e1011. https://doi.org/10.1002/cfp2.1011
  4. Reinholtz, N., Bartels, D. M., & Parker, J. R. (2015). On the mental accounting of restricted-use funds: How gift cards change what people purchase. Journal of Consumer Research, ucv045. https://doi.org/10.1093/jcr/ucv045
  5. Kahneman, D., & Tversky, A. (1984). Choices, values, and frames. American Psychologist, 39(4), 341-350. https://doi.org/10.1037/0003-066x.39.4.341
  6. Vedantam, S. (2007, May 19). Mental Accounting. The Washington Post. https://www.washingtonpost.com/wp-dyn/content/article/2007/05/19/AR2007051900316.html
  7. Sunk cost fallacy. (2020, April 22). The BE Hub. https://www.behavioraleconomics.com/resources/mini-encyclopedia-of-be/sunk-cost-fallacy/
  8. Thaler, R. H. (1999). Mental accounting matters. Journal of Behavioral Decision Making, 12(3), 183-206. https://doi.org/10.1002/(sici)1099-0771(199909)12:3<183::aid-bdm318>3.0.co;2-f
  9. Thaler, R. H. (2000). Toward a positive theory of consumer choice. Choices, Values, and Frames, 269-287. https://doi.org/10.1017/cbo9780511803475.016
  10. Harbour, S. (2019, November 1). Are bad mental accounting habits holding you back? Manulife Bank. https://www.manulifebank.ca/personal-banking/plan-and-learn/personal-finance/are-bad-mental-accounting-habits-holding-you-back.html
  11. Appelbaum, B. (2017, October 9). Nobel in Economics Is Awarded to Richard Thaler. The New York Times. https://www.nytimes.com/2017/10/09/business/nobel-economics-richard-thaler.html
  12. Prelec, D., & Simester, D. (2001). Always leave home without it: A further investigation of the credit-card effect on willingness to pay. Marketing letters, 12(1), 5-12.
  13. Shafir, E., & Thaler, R. H. (2006). Invest now, drink later, spend never: The mental accounting of delayed consumption. SSRN Electronic Journal, 27, 694–712. https://doi.org/10.2139/ssrn.901830
  14. Leng, Y. (2024). Can LLMs Mimic Human-Like Mental Accounting and Behavioral Biases? Available at SSRN: https://ssrn.com/abstract=4705130 or http://dx.doi.org/10.2139/ssrn.4705130
  15. Borah, A. J. (2023). The role of artificial intelligence in enhancing mental accounting and improving working capital management for entrepreneurs. International Research Journal of Humanities and Interdisciplinary Studies, 4(7). 
  16. Prelec, D., & Loewenstein, G. (1998). The Red and the Black: Mental Accounting of Savings and Debt. Marketing Science, 17(1), 4-28. 
  17. Lee, C-Y., & Morewedge, C. K. (2023). Mental accounting of product returns. Journal of Consumer Psychology, 33(3), 583-590. 
  18. Thaler, R. H., & Johnson, E. J. (1990). Gambling with the house money and trying to break even: The effects of prior outcomes on risky choice. Management Science, 36(6), 643-660.
  19. Mandell, E. (2017). Behavioral Economics and Problem Gambling. Thesis, College of Charleston. https://api-d.library.cofc.edu/server/api/core/bitstreams/664d2105-3739-46c1-aad1-75aff3f473d7/content
  20. Gross, D. B., & Souleles, N. S. (2002). Do Liquidity Constraints and Interest Rates Matter for Consumer Behavior? Evidence from Credit Card Data. The Quarterly Journal of Economics, 117(1), 149–185, https://doi.org/10.1162/003355302753399472
  21. Beshears, J. et al. (2018). Behavioral Household Finance. In (eds.) B. Douglas Bernheim, Stefano DellaVigna, David Laibson, Handbook of Behavioral Economics: Applications and Foundations 1. North-Holland, 177-276. 
  22. CFI Team. (n.d.). Mental Accounting. Corporate Finance Institute. https://corporatefinanceinstitute.com/resources/management/mental-accounting/
  23. Cheng, L., Yu, Y., Wang, Y., & Zheng, L. (2023). Influences of mental accounting on consumption decisions: asymmetric effect of a scarcity mindset. Frontiers in psychology, 14, 1162916. https://doi.org/10.3389/fpsyg.2023.1162916

About the Authors

A man in a blue, striped shirt smiles while standing indoors, surrounded by green plants and modern office decor.

Dan Pilat

Dan is a Co-Founder and Managing Director at The Decision Lab. He is a bestselling author of Intention - a book he wrote with Wiley on the mindful application of behavioral science in organizations. Dan has a background in organizational decision making, with a BComm in Decision & Information Systems from McGill University. He has worked on enterprise-level behavioral architecture at TD Securities and BMO Capital Markets, where he advised management on the implementation of systems processing billions of dollars per week. Driven by an appetite for the latest in technology, Dan created a course on business intelligence and lectured at McGill University, and has applied behavioral science to topics such as augmented and virtual reality.

A smiling man stands in an office, wearing a dark blazer and black shirt, with plants and glass-walled rooms in the background.

Dr. Sekoul Krastev

Dr. Sekoul Krastev is a decision scientist and Co-Founder of The Decision Lab, one of the world's leading behavioral science consultancies. His team works with large organizations—Fortune 500 companies, governments, foundations and supernationals—to apply behavioral science and decision theory for social good. He holds a PhD in neuroscience from McGill University and is currently a visiting scholar at NYU. His work has been featured in academic journals as well as in The New York Times, Forbes, and Bloomberg. He is also the author of Intention (Wiley, 2024), a bestselling book on the science of human agency. Before founding The Decision Lab, he worked at the Boston Consulting Group and Google.

About us

We are the leading applied research & innovation consultancy

Our insights are leveraged by the most ambitious organizations

Image

I was blown away with their application and translation of behavioral science into practice. They took a very complex ecosystem and created a series of interventions using an innovative mix of the latest research and creative client co-creation. I was so impressed at the final product they created, which was hugely comprehensive despite the large scope of the client being of the world's most far-reaching and best known consumer brands. I'm excited to see what we can create together in the future.

Heather McKee

BEHAVIORAL SCIENTIST

GLOBAL COFFEEHOUSE CHAIN PROJECT

OUR CLIENT SUCCESS

$0M

Annual Revenue Increase

By launching a behavioral science practice at the core of the organization, we helped one of the largest insurers in North America realize $30M increase in annual revenue.

0%

Increase in Monthly Users

By redesigning North America's first national digital platform for mental health, we achieved a 52% lift in monthly users and an 83% improvement on clinical assessment.

0%

Reduction In Design Time

By designing a new process and getting buy-in from the C-Suite team, we helped one of the largest smartphone manufacturers in the world reduce software design time by 75%.

0%

Reduction in Client Drop-Off

By implementing targeted nudges based on proactive interventions, we reduced drop-off rates for 450,000 clients belonging to USA's oldest debt consolidation organizations by 46%

Notes illustration

Eager to learn about how behavioral science can help your organization?