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Mental Budgeting and Consumer Decisions
Abstract
Consumers often set budgets for categories of expenses (e.g., entertainment) and track expenses against their budget. Because budgets cannot perfectly anticipate consumption opportunities, people may earmark too much or too little money for a particular category. This leads them to overconsume or underconsume goods in that category. The results of three studies suggest that consumers do indeed set budgets and that budgeting may lead to underconsumption. To show that consumers track expenses, the studies demonstrate that budgeting effects are larger for purchases that are highly typical of their category. Such purchases reduce the amount people spend in a category and block the purchase of other typical items. The studies control for satiation and income effects; thus, budgeting adds predictive power to standard economic consumer theory.
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Citations
Cited by
Bolton, R. N., & Lemon, K. N. (1999) · Journal of Marketing Research · doi:10.1177/002224379903600203 · Cited by 1,122
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Mazumdar, T., Raj, S. P., & Sinha, I. (2005) · Journal of Marketing · doi:10.1509/jmkg.2005.69.4.84 · Cited by 848
From Cashews to Nudges: The Evolution of Behavioral Economics
Thaler, R. H. (2018) · American Economic Review · doi:10.1257/aer.108.6.1265 · Cited by 322
Frederick, S., Novemsky, N., Wang, J., Dhar, R., & Nowlis, S. (2009) · Journal of Consumer Research · doi:10.1086/599764 · Cited by 321
When Do Losses Loom Larger than Gains?
Ariely, D., Huber, J., & Wertenbroch, K. (2005) · Journal of Marketing Research · doi:10.1509/jmkr.42.2.134.62283 · Cited by 267
Metadata
- Authors
- Heath, C., & Soll, J. B.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1996-06
- Volume
- 23
- Issue
- 1
- Pages
- 40
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2023096695
- Cited by
- 753
- References
- 0
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.