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Mortality

​Post-Level Term Research Results 2011: Predictive Modeling and Life Insurance

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RGA completed an in-depth study looking at assumptions and experience for lapses and mortality at the end of the level premium period for level term business.


This study was completed on the behalf of the SOA’s Product Development Section Council and Committee on Life Insurance Research.

This study was divided into two phases: 

The Phase 1 report summarized mortality and lapse assumptions of 41 companies used for pricing and modeling level premium term products. A brief overview of the Phase 1 report was provided in the June 2010 edition of Product Matters

The Phase 2 report provided lapse and mortality experience between 2000 and 2008 for 26 companies with level term policies beyond the end of the level period. The focus of the studies was the “shock lapse” and the mortality deterioration that follows. 

This article will summarize the Phase 2 report and will focus solely on the results of the 10-year level term product.  Best's Review Innovation Showcase has recognized this study. 


Posted with permission of the ©Society of Actuaries, Schaumburg, Illinois.

Contact RGA's research team to learn more about post-term lapsecustomer engagement, and insurance. 


Download "​Post-Level Term Research Results 2011"

The Authors

  • Scott Rushing
    FSA, MAAA
    Vice President and Actuary,
    Head of Risk and Behavioral Science,
    Global Data and Analytics
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  • Timothy L. Rozar
    FSA, CERA, MAAA
    Senior Vice President, Chief of Staff to the CEO
    RGA

Summary

Contact RGA's research team to learn more about post-term lapsecustomer engagement, and insurance. 

Download "​Post-Level Term Research Results 2011"
  • big data
  • credit data
  • data science
  • DriverRisk score
  • Electronic Health Records
  • experiences for lapses
  • Medical Information Bureau lapse study
  • MIB lapse study
  • mortality assumptions
  • mortality experience
  • mortality trends
  • motor vehicle data
  • MVR score
  • policy lapse
  • post-level premium period lapse
  • predictive analytics
  • predictive model
  • predictive modeling
  • prescription data
  • Product Development
  • Rozar
  • Rushing
  • Rx score
  • Scott Rushing
  • SOA
  • Tim Rozar
  • Timothy Rozar