Document Type : Original Research Paper
Authors
1 Department of Economics, Faculty of Economic and Administrative Sciences, University of Mazandaran, Mazandaran, Iran
2 Department of Economics, Faculty of Economics, University of Tehran, Iran
3 Department of Oil and Gas Economics, Markets and Finance, School of Economics, Allameh Tabatabai University, Tehran, Iran
Abstract
Several studies have been conducted on the relationship between life insurance and economic growth, based on conventional economic attitudes and in the framework of macro models of economic growth, but less attention has been paid to its development aspects. The present research tries to explain and analyze the developmental effects of life insurance from the perspective of social capital. For this purpose, the causal relationships between per capita life insurance and social capital for two selected groups of developed and developing countries have been investigated using the evolutionary and non-linear GMDH algorithm in the framework of neural network structure. The results of this research show that there is a two-way non-linear causality between social capital and life insurance per capita in developed countries, while there is a one-way causality from life insurance per capita to social capital in selected developing countries. Therefore, per capita life insurance has a much stronger effect on social capital for both groups of countries.
Keywords
)
Letters to Editor
Send comment about this article