Life insurance density and penetration: panel data analysis across countries
- Publisher: Institutional Repository of Vilnius University
- Embargo end date: 2017-06-09
Life Insurance Density and Penetration: Panel Data Analysis Across Countries This bachelor thesis examines two key indicators in the life insurance market: density and penetration. The main purpose is to analyse which factors have the biggest impact on these two indicators in 39 countries around the world. Panel data models, which represent the collected data best, were created. This paper examines the latest public data available in 39 countries, including the Baltic States, and new significant variables that have not been previously considered in other life insurance market papers, that were reviewed in this paper. Four models that describe life insurance density and penetration are presented: in the first two models, the data from 39 countries is used, in the other two - regrouped national data from 29 countries is analysed. Significant variables that affect the life insurance density and penetration are: gross domestic product, ratio of young and old dependents to all population, consumption expenditure and savings per capita.