ECONOMIC AND DEMOGRAPHIC DETERMINANTS OF THE DEMAND FOR LIFE INSURANCE: MULTIVARIATE ANALYSIS
Öz
he aim of this paper is to summarize a large number of economic and demographic determinants that are used to predict the demand for life insurance into a smaller number of component variables (components) and to determine which component has a stronger influence on demand for life insurance. Data are collected for 150 countries during the period 2005-2010. Final cross-country database is consisted of six-year average values on variables for selected countries. The methodology includes techniques of multivariate analysis: principal component analysis (PCA) and multiple linear regression. Results show that initial determinants of demand for life insurance can be summarized into two components: economic and demographic. Both components have a statistically significant positive influence on the demand for life insurance. On the basis of standardized regression coefficients it can be concluded that economic component is stronger determinant of demand for life insurance in comparison with demographic.
Anahtar Kelimeler
Kaynakça
- Arena, M. (2006) “Does Insurance Market Activity Promote Economic Growth? A Cross-Country Study for Industrialized and Developing Countries”, The World Bank.
- Beck, T. and Webb, I. (2003) “Economic, Demographic, and Institutional Determinants of Life Insurance Consumption across Countries“, The World Bank Economic Review, 17(1): 51-88.
- Çelik, S. and Kayali, M.M. (2009) “Determinants of Demand for Life Insurance in European Countries“, Problems and Perspectives in Management, 7: 32-37.
- Chang, T., Lee, C.C. and Chang, C.H. (2014) “Does Insurance Activity Promote Economic Growth? Further Evidence Based on Bootstrap Panel Granger Causality Test“, The European Journal of Finance, 20: 1187-1210.
- Curak, M., Dzaja, I, and Pepur, S. (2013) “The Effect of Social and Demographic Factors on Life Insurance Demand in Croatia“, International Journal of Business and Social Science, 4(9): 65-72.
- Field, A. (2005) “Discovering Statistics Using SPSS“, SAGE Publications.
- Fortune, P. (1973) “A Theory of Optimal Life Insurance: Development and Test“, The Journal of Finance, 28(3): 587-600.
- Hair, J.F., Black, W.C., Babin, B.J and Anderson, R.E. (2009) “Multivariate Data Analysis“, Pearson.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yazarlar
Elma Satrovıc
*
0000-0002-8000-5543
Türkiye
Adnan Muslıja
Bu kişi benim
0000-0002-8176-6600
Bosnia and Herzegovina
Yayımlanma Tarihi
30 Eylül 2018
Gönderilme Tarihi
11 Temmuz 2018
Kabul Tarihi
29 Eylül 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 16 Sayı: 1
Cited By
A Bridge Life Insurance for Households—Diagnosis and Motives
Risks
https://doi.org/10.3390/risks10040081Hayat Sigortası Talebinin Belirleyicileri: Türkiye Örneği
Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi
https://doi.org/10.16951/atauniiibd.729438Macroeconomic Multivariate Statistics and Regionalization Management Strategy Based on Random Matrix
Mathematical Problems in Engineering
https://doi.org/10.1155/2022/8260798Factor Influncing the Demand of Life Insurance Policy
Journal of Corporate Finance Management and Banking System
https://doi.org/10.55529/jcfmbs.42.25.34The dynamics of life insurance demand in Bangladesh: An empirical analysis of socio-economic influences
Insurance Markets and Companies
https://doi.org/10.21511/ins.16(2).2025.02Financial bequests to children
Journal of Risk and Uncertainty
https://doi.org/10.1007/s11166-025-09465-7