Abstract

In this study, the socioeconomic factors determining the insurance inclusion variable, constructed using principal component analysis, were tested using the Parks-Kmenta estimator and quantile regression for the E7 countries. In this context, the data used in the study were obtained between 2004 and 2017, depending on the accessibility of the variables. The empirical results show that while inclusion in the insurance sector is positively influenced by macroeconomic factors such as economic growth, sustainable development, urbanization, and public expenditure variables, it is negatively affected by risk components such as global uncertainty and political risk. Thus, the results suggest that socioeconomic factors significantly influence involvement in the insurance sector. In addition, thanks to financial inclusion, the revival of E7 countries will be ensured, and the growth of the economies of these countries will accelerate.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.