Retrospective research estimates attrition rates and identifies covariates affecting retention in policyholders, pointing to insights for insurance practices.
The present work has used survival models to estimate attrition rates, probabilities, and predictions as well as identify which covariates influence attrition. The study adopts a retrospective explanatory research design. A sample of 149 in-force policies within 1st January 2018 to 30th June 2019 have been used in the analysis. Kaplan Meir curves have been used to show the distribution of survival/retention times.
No takes yet. Share an insight, caveat, or question.
Oburu et al. (2020) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: