Financial Satisfaction and Psychological in Different Demographic Characteristics

Ranip Fahmi, Taufik Faturohman

Abstract


This study analyzes Subjective Well-Being (SWB), comprising Financial Satisfaction and Psychological Well-Being, among productive young adults aged 18–35 in Indonesia. It evaluates the influence of demographic factors such as gender, age, employment status, education level, income, and expenses on SWB. Data were collected through an online questionnaire using a six-point Likert scale, with 344 valid responses from a total of 347 respondents. The findings reveal that males have higher SWB compared to females. Respondents aged 26–35 reported the highest financial satisfaction, while those aged 18–25 showed the best psychological well-being. Full-time workers and individuals with higher education levels reported the highest SWB. Additionally, incomes exceeding IDR 10,000,000 and controlled expenses positively contributed to SWB. This study recommends financial literacy programs and accessible mental health services to reduce financial stress and improve the well-being of Indonesia's young adults.


Keywords


Subjective Well-Being; Financial Satisfaction; Psychological Well-Being.

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References


Baumeister, R. F., Vohs, K. D., & Tice, D. M. (2022). The Strength Model of Self-Control. Psychological Science, 16(6), 351–355.

Chun, H., & Johnson, M. P. (2022). Financial Management and Resource Allocation: Impact on Financial Satisfaction. Journal of Financial Counseling and Planning, 33(1), 45–60.

Deloitte. (2022). Gen Z and Millennials Survey: Financial Concerns and Well-Being. Deloitte Insights. Retrieved from https://www.deloitte.com

Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1984). The Satisfaction With Life Scale. Journal of Personality Assessment, 49(1), 71–75.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Pearson.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

Kamakia, M. G., Mwangi, C. I., & Mwangi, R. W. (2023). Financial Literacy and Its Impact on Financial Satisfaction: A Case of Emerging Economies. Journal of Financial Management, 10(3), 67–78.

Kaligis, F., Indriatmi, W., & Ismail, R. I. (2021). Mental Health Problems and Needs Among Transitional-Age Youth in Indonesia. Asian Journal of Psychiatry, 56, 102560.

OJK. (2020). Fintech Lending Report. Otoritas Jasa Keuangan. Retrieved from https://www.ojk.go.id

OJK. (2024). Survei Nasional Literasi dan Inklusi Keuangan 2024. Otoritas Jasa Keuangan. Retrieved from https://www.ojk.go.id

Pan, Y., Xin, T., & Li, Z. (2019). Urban-Rural Differences in Financial Satisfaction and Psychological Well-Being. Social Indicators Research, 143(3), 1027–1044.

Populix. (2023). Studi Masalah Kesehatan Mental di Indonesia. Retrieved from https://www.populix.co

PwC. (2024). Employee Financial Wellness Survey. PricewaterhouseCoopers LLP. Retrieved from https://www.pwc.com

Silvianita, A., & Anggraeni, B. D. (2023). Financial Literacy and Its Effect on Psychological Well-Being: Evidence from Indonesia. Journal of Behavioral Economics, 18(2), 89–102.

Voorhees, C. M., Brady, M. K., Calantone, R., & Ramirez, E. (2016). Discriminant Validity Testing in Marketing: An Analysis, Causes for Concern, and Proposed Remedies. Journal of the Academy of Marketing Science, 44(1), 119–134.

World Health Organization (WHO). (2023). Mental Health and Financial Stress: A Global Analysis. Retrieved from https://www.who.int




DOI: https://doi.org/10.51849/sl.v4i3.382

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