The insurance penetration estimations for 2007


Estimates and Policy Implications This sub-study is designed to help the NFIP set appropriate goals for market penetration rates and expand the number of flood insurance policies in force over time, to evaluate strategies for increasing market penetration rates, and to consider how goals should vary by type of community. While this figure covers wind and storm surge damage to about 1. For more information, visit the cookies page. Maradana Kunal Gaurav Danish B. This analysis is based on a survey conducted by the World Bank s agricultural insurance team in in 65 developed and developing countries. Production and hosting by Elsevier B.
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We take motivation from the low insurance penetration in Africa to investigate the factors that influence life insurance consumption in 31 African countries from to Abstract We take motivation from the low insurance penetration in Africa to investigate the factors that influence life insurance consumption in 31 African countries from to Annual data on 31 African countries from to are employed in the econometric analysis. Keywords Life insurance penetration. Using the OLS and dynamic GMM techniques, we find that demographic factors better explain life insurance consumption compared to financial factors. For more information, visit the cookies page.
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Insurance indicators

Check if you have access through your login credentials or your institution. While we find income, inflation, dependency ratio and life expectancy lead to decline in life insurance consumption, financial development, health expenditure and institutional quality are found to positively impact on life insurance consumption in Africa. Abstract We take motivation from the low insurance penetration in Africa to investigate the factors that influence life insurance consumption in 31 African countries from to Using the OLS and dynamic GMM techniques, we find that demographic factors better explain life insurance consumption compared to financial factors. Recommended articles Citing articles 0.
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The insurance penetration estimations for 2007
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The insurance penetration estimations for 2007
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The insurance penetration estimations for 2007



Description: Keywords Life insurance penetration. By employing both ordinary least squares and instrumental variables regressions, this study finds that demographic factors better explain life insurance consumption compared to financial factors. For more information, visit the cookies page. The findings provide policy implications for the development of life insurance markets in Africa.

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