Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Assessment of Financial Literacy Level among Elderly


Affiliations
1 Ph.D. Scholar, Department of Family Resource Management, College of Home Science, CCS HAU, Hisar, Haryana, India
2 Principal Scientist, Department of Family Resource Management, College of Home Science, CCS HAU, Hisar, Haryana, India
     

   Subscribe/Renew Journal


Aging is commonly related to poverty as a result of limited access to financial resources because of retirement or declining health. The high incidence of poverty among the elderly could be a global concern. How much the elderly have is important, but how they use what they have is equally important. This paper focuses on assessing the low level of financial literacy among the elderly in Fatehabad district. The data was collected among 150 elderly people aged 55 to 85 years. Financial literacy was assessed by using a questionnaire with 21 statements. In general, the elderly in the study demonstrated basic financial knowledge associated with financial investments. Results reveal that majority of elderly (60.67%) were belonged to 55-65 years, were male (63.33%), had graduated (47.33%), were retired (50.67%), had a monthly income of the respondents ₹20,000-50,000 and family monthly income ₹50,000- 1,25,000. Living arrangements mostly (36.67%) were with a spouse and family. The male respondents (64.21%) had a medium level of financial literacy as compared to female respondents (25.45%). Further, found that highly significant association with age, education, occupation, respondent monthly income, and family monthly income with financial literacy (p<0.01).

Keywords

Financial Literacy, Elderly, Chi-square
Subscription Login to verify subscription
User
Notifications
Font Size


  • Beck, T., & Webb, I. (2003). Economic, demographic and institutional determinants of life insurance consumption across countries. The World Bank Economic Review, 17(1), 51-87.
  • Dewar, D.M. (1998). Do those with more formal education have better health insurance opportunities? Economics of Education Review, 17(3), 267- 277.
  • Dyuti (2013). Determinants of consumer purchase decision of Health Insurance in Kerala. Thesis submitted to Cochin University of science and Technology Dash, G. (2018). Determinants of life insurance demand: Evidences from India. Asia Pacific Institute of Advanced Research (APIAR), 4(2), 86-99.
  • Hwang, T., & Greenford, B. (2005). A cross-section analysis of the determinants of life insurance consumption in Mainland China, Hong Kong, and Taiwan. Risk Management and Insurance Review, 8(1), 103-125.
  • Ioncica, M., Petrescu, E., Ioncica, D., & Constantinescu, M. (2012). The role of education on consumer behaviour on the insurance market. Social and Behavioral Sciences, 46, 4154-4158.
  • Liu, H., Gao, S., & Rizzo, J. (2011). The expansion of public health insurance and the demand for private health insurance in rural China. China Economic Review, 22(1), 28-41.
  • Negi, D., & Singh, P. (2012). Demographic analysis of factors influencing purchase of life insurance products in India. European Journal of Business and Management, 4(7), 169-181.
  • Outreville, F. J. (1996). Life insurance markets in developing countries. The Journal of Risk and Insurance, 63(2), 263-278.
  • Prajapati, K., & Jetawat, H. (2022), A study on factors influencing decision of customers purchasing life insurance product with reference to age group in Gujarat region (Chisquare Analysis Approach). Global Journal of Research in Management, 12, 61-72.
  • Showers, V. E., & Shotick, J. A. (1994). The effects of household characteristics on demand for insurance: A to bit analysis. Journal of Risk and Insurance, 61, 492-502.
  • Yadav, B., & Tiwari, A. (2012). A study on factors affecting customer investment towards life insurance policies. International Transaction Journal of Engineering, Management, and Applied Sciences and Technologies, 1(7), 106-123, ISSN 2277-3622.
  • Zhuo, Z. (1999). Demand for life insurance: An empirical analysis on China. Zeitschrift fur Versicherungwesen, 6(7), 323-326.
  • Zietz, E. N. (2003). An examination of the demand for life insurance. Risk Management and Insurance Review, 6(2), 159-191.

Abstract Views: 145

PDF Views: 0




  • Assessment of Financial Literacy Level among Elderly

Abstract Views: 145  |  PDF Views: 0

Authors

Kavita Rani
Ph.D. Scholar, Department of Family Resource Management, College of Home Science, CCS HAU, Hisar, Haryana, India
Kiran Singh
Principal Scientist, Department of Family Resource Management, College of Home Science, CCS HAU, Hisar, Haryana, India
Manesh Rani
Ph.D. Scholar, Department of Family Resource Management, College of Home Science, CCS HAU, Hisar, Haryana, India

Abstract


Aging is commonly related to poverty as a result of limited access to financial resources because of retirement or declining health. The high incidence of poverty among the elderly could be a global concern. How much the elderly have is important, but how they use what they have is equally important. This paper focuses on assessing the low level of financial literacy among the elderly in Fatehabad district. The data was collected among 150 elderly people aged 55 to 85 years. Financial literacy was assessed by using a questionnaire with 21 statements. In general, the elderly in the study demonstrated basic financial knowledge associated with financial investments. Results reveal that majority of elderly (60.67%) were belonged to 55-65 years, were male (63.33%), had graduated (47.33%), were retired (50.67%), had a monthly income of the respondents ₹20,000-50,000 and family monthly income ₹50,000- 1,25,000. Living arrangements mostly (36.67%) were with a spouse and family. The male respondents (64.21%) had a medium level of financial literacy as compared to female respondents (25.45%). Further, found that highly significant association with age, education, occupation, respondent monthly income, and family monthly income with financial literacy (p<0.01).

Keywords


Financial Literacy, Elderly, Chi-square

References