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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.