Abstract
This paper examines the impact of investor’s sentiment on non-life insurance demand during economic impairment period. We used initial dataset of thirty-three (33) OECD countries over the period from 2007 to 2016 and employ biascorrected bootstrapping technique to create a big dataset with 10,220 observations. We argue that big dataset derived from bias-corrected bootstrapping technique will generate unbiased and efficient regression estimates. Our results showed that during economic impairment period risk-averse individuals will buy insurance policies to safeguard their wealth resulting in an increase in the demand for non-life insurance. Our findings are robust to different estimation techniques and also control for the potential endogeneities.
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 callDisclaimer: 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.
