Behavioural Economics and Household Financial Decision-Making: Impacts on Household Welfare and Economic Stability

Authors

  • Ayesha Mustafa International Institute of Islamic Economics, International Islamic University, Islamabad, Pakistan
  • Samrana Afzal Department of International Relations, Fatima Jinnah women University, Rawalpindi, Pakistan
  • Saad Khan Department of Economics and Management, Chang‘an University, Xi’an, China

DOI:

https://doi.org/10.63544/ijss.v5i4.321

Keywords:

Behavioural Economics, Household Financial Decision-Making, Household Welfare, Economic Stability, Loss Aversion, Present Bias, Risk Perception, Mental Accounting, Financial Literacy, Behavioural Finance

Abstract

Household financial decision-making plays a critical role in determining both individual welfare and broader economic stability. Traditional economic theories assume that individuals make rational financial decisions; however, behavioural economics demonstrates that cognitive biases and psychological heuristics frequently influence financial choices. This study investigates the impact of behavioural economics on household financial decision-making and examines how cognitive biases affect household welfare and economic stability. Specifically, the research focuses on four major behavioural constructs: loss aversion, present bias, risk perception, and mental accounting.

A sequential explanatory mixed-methods research design was adopted, integrating quantitative, experimental, and qualitative approaches. Primary data were collected from 1,248 households across Punjab, Sindh, and Khyber Pakhtunkhwa using structured questionnaires, behavioural experiments, and semi-structured interviews. Quantitative data were analysed using descriptive statistics, Partial Least Squares Structural Equation Modelling (PLS-SEM), probit regression, mediation analysis, and experimental analysis, while qualitative data were analysed through thematic analysis to provide deeper insights into household financial behaviour.

The findings reveal that behavioural biases significantly influence household financial decisions. Loss aversion and present bias were found to have significant negative effects on household financial welfare and participation in formal financial services, whereas mental accounting demonstrated a modest positive association with financial outcomes. Risk perception was identified as a significant mediating factor between behavioural biases and financial welfare, while financial literacy moderated the adverse effects of cognitive biases. Experimental findings further confirmed that framing effects significantly influence investment decisions and risk-taking behaviour. The study concludes that behavioural factors should be integrated into financial policy design, financial education programmes, and consumer protection strategies to improve household financial outcomes and promote long-term economic stability.

The research contributes to the growing literature on behavioural household finance by providing empirical evidence from Pakistan, highlighting the importance of incorporating psychological dimensions into financial decision-making models and public policy interventions.

References

Afzal, M. F. (2025). Loss aversion, risk perception, and household financial decisions in Pakistan: A prospect theory assessment. Asian Finance Research Journal, 7, 1–23.

Agarwalla, S. K., Barua, S. K., Jacob, J., & Varma, J. R. (2015). Financial literacy among working young in urban India. World Development, 67, 101–109. https://doi.org/10.1016/j.worlddev.2014.10.004

Agunsoye, A. (2024). Rethinking financial behaviour: Rationality and resistance in the financialization of everyday life. Bristol University Press.

Ahmed, S., et al. (2018). Household behavior in practicing mental budgeting based on the theory of planned behavior. Financial Innovation, 4, Article 28. https://doi.org/10.1186/s40854-018-0108-3

Altman, M. (2012). Behavioral economics for dummies. John Wiley & Sons Canada.

Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173

Bhamra, H. S., & Uppal, R. (2019). Does household finance matter? Small financial errors with large social costs. American Economic Review, 109(3), 1116–1154. https://doi.org/10.1257/aer.20171466

Chen, F., Han, J., & Bao, L. (2026). Risk preference elicitation in finance: Survey vs. experiment. Journal of Behavioral and Experimental Finance, 101123.

Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37–46. https://doi.org/10.1177/001316446002000104

Colarieti, R., Mei, P., & Stantcheva, S. (2024). The how and why of household reactions to income shocks (NBER Working Paper No. 32191). National Bureau of Economic Research. https://doi.org/10.3386/w32191

Cornell University, SC Johnson College of Business. (n.d.). The Institute for Behavioral and Household Finance. https://www.johnson.cornell.edu

Dhami, S., Hajimoladarvish, N., & Georgalos, K. (2023). Precautionary savings, loss aversion, and risk (CESifo Working Paper No. 10570). CESifo.

Frederick, S., Loewenstein, G., & O'Donoghue, T. (2002). Time discounting and time preference: A critical review. Journal of Economic Literature, 40(2), 351–401. https://doi.org/10.1257/002205102320161311

Godbole, A., Shah, Z., & Mudholkar, R. S. (2025). Preventing household bankruptcy: The one-third rule in financial planning with mathematical validation and game-theoretic insights. arXiv. https://arxiv.org/

Gomes, F., Haliassos, M., & Ramadorai, T. (2021). Household finance. Journal of Economic Literature, 59(3), 919–1000. https://doi.org/10.1257/jel.20201518

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

He, H., et al. (2025). Risk preference elicitation in finance: Survey vs. experiment. Journal of Behavioral and Experimental Finance.

Holt, C. A., & Laury, S. K. (2002). Risk aversion and incentive effects. American Economic Review, 92(5), 1644–1655. https://doi.org/10.1257/000282802762024700

Illiashenko, P. (2017). Behavioral finance: Household investment and borrowing decisions. Visnyk of the National Bank of Ukraine, 242, 28–48. https://doi.org/10.26531/vnbu2017.242.028

Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.2307/1914185

Laibson, D. (1997). Golden eggs and hyperbolic discounting. Quarterly Journal of Economics, 112(2), 443–477. https://doi.org/10.1162/003355397555253

Lusardi, A., & Mitchell, O. S. (2014). The economic importance of financial literacy: Theory and evidence. Journal of Economic Literature, 52(1), 5–44. https://doi.org/10.1257/jel.52.1.5

Oda, N. (2025). Present bias, cognitive bias, and illiquid savings (TCER Working Paper). Tokyo Center for Economic Research.

O'Donoghue, T., & Rabin, M. (1999). Doing it now or later. American Economic Review, 89(1), 103–124. https://doi.org/10.1257/aer.89.1.103

Ramos Zaga, F. A. (2023). The financial education in the light of behavioral economics. International Business Journal.

Shah, M. U. D., et al. (2025). Digital payments and overspending: The role of mental accounting and present bias. International Journal of Finance & Economics, 31(2), 2417–2430.

Social Science Registry. (2025). The inflation gamble. https://www.socialscienceregistry.org

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

Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453–458. https://doi.org/10.1126/science.7455683

Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297–323. https://doi.org/10.1007/BF00122574

Wahab, S. N. A. A., et al. (2025). Systematic literature review of household debt: Determinants and consequences. International Journal of Academic Research. (Verify complete bibliographic details and DOI.)

Wahla, K. U. R., et al. (2020). Impact of exponential growth bias and mental budgeting on household financial decisions. Paradigms, 14(2), 145–152.

Weber, E. U., & Milliman, R. A. (1997). Perceived risk attitudes: Relating risk perception to risky choice. Management Science, 43(2), 123–144. https://doi.org/10.1287/mnsc.43.2.123

Zhang, L., et al. (2025). Present bias, mental budget constraint, and the payday consumption cycle. China Economic Review, 89, Article 102306. https://doi.org/10.1016/j.chieco.2025.102306

Author Biographies

Ayesha Mustafa, International Institute of Islamic Economics, International Islamic University, Islamabad, Pakistan

Samrana Afzal, Department of International Relations, Fatima Jinnah women University, Rawalpindi, Pakistan

Saad Khan, Department of Economics and Management, Chang‘an University, Xi’an, China

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Published

26-07-2026

How to Cite

Mustafa, A., Afzal, S., & Khan, S. (2026). Behavioural Economics and Household Financial Decision-Making: Impacts on Household Welfare and Economic Stability. Inverge Journal of Social Sciences, 5(4), 102–118. https://doi.org/10.63544/ijss.v5i4.321

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