Our team worked with Genworth, a global financial security company specializing in long term care insurance, to develop a method to identify factors that have the greatest impact on benefit exhaustion. Using a dataset that included a variety of information for 26,114 claims that were closed (including 3,948 closed due to benefit exhaustion), we compared claims closed due to exhaustion versus total claims closed, with respect to the frequency of any given factor. Next, we created a graph we could reproduce for each factor based on this method. We tested all factors regardless of relevance for completeness to discover which factors were both Predictive and Known during Underwriting.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Alezker, Alan D.
• Labbay, Kaitlyn Marie
• Spector, Danielle Alyse
• Pytko, Laurel Elizabeth

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-050114-135632

Advisor

• Abraham, Jon P.

Year

• 2014

Sponsor

• Genworth Financial, Inc

Date created

• 2014-05-01

Resource type

• Major Qualifying Project

Major

• Actuarial Mathematics

Rights statement

• In Copyright