Predictive analytics has the potential to help long-term care actuaries develop more accurate projections via an automated robust process. This article by Milliman’s Missy Gordon and Joe Long walks through an illustrative case study for a company that transitions from using traditional techniques to using predictive analytics to develop a claim termination assumption.
This article was originally published in the August 2018 issue of Long-Term Care News.
In the world of long-term care (LTC) insurance, making financial projections is challenging for two main reasons: a long projection horizon and complex interactions. This article by Milliman actuaries Missy Gordon and Joe Long walks through the progression from developing LTC projection assumptions using traditional methods to doing so using predictive analytics.
This article was originally published in the December 2017 issue of Long-Term Care News.
In September 2016, Milliman actuaries Missy Gordon and Amy Pahl published a report entitled “Long-term care rate increase survey.” The results of the survey provide insurers, state regulators, and other stakeholders with some strategies and approaches to filing long-term care (LTC) rate increases. All but two of the 26 companies that participated in the survey filed for at least one LTC rate increase.
Gordon and Shawn Stender recently summarized the report in the April 2017 issue of Long-Term Care News. In the article, the authors highlight several questions that companies and regulators frequently ask regarding LTC rate increases. They also provide answers based on their experience and the LTC survey results, which are grouped into a three-step process.