A dataset containing an example of a mortality experience study for 1000 fictional whole life insurance policyholders.
Format
A data.frame() with over 175,000 rows and 24 columns:
AS_OF_DATEThis indicates which point in time a record encompasses.
POLICY_HOLDERAn index used to distinguish policyholders. In this example the policyholder is also the (only) insured.
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GENDER,SMOKING_STATUS,UNDERWRITING_CLASS,INSURED_DOB,ISSUE_DATE,ISSUE_AGE Various characteristics of an insured at time of issue.
FACE_AMOUNTFace amount of insurance for a corresponding policy.
TERMINATION_DATEIf terminated, the effective date of termination. An
NAvalue will be listed for policies that are still in-force.ATTAINED_AGEThe age of the insured at the record's
AS_OF_DATEEXPECTED_MORTALITY_RTAn expected mortality rate for an insured. The rate is calculated according to De Moivre's Law (also known as uniform distribution of deaths, or \(\text{UDD}\)) with \(\omega=120\).
POLICY_DURATION_MNTH,POLICY_DURATION_YRTemporal indices describing how long a policy has been in-force at the
AS_OF_DATE. For example, when a policy is first issued (i.e., \(t=0\)), it is in policy duration year one and policy duration month one.POLICY_STATUSThe current status of the policy, either in-force, surrendered, or death. The value will be listed for each policy record even though a decrement only occurs at the end of the policy's duration (for policies which are no longer in-force).
MORT_EXPOSURE_CNT,MORT_EXPOSURE_AMTMeasures how many policyholders or how much face amount of insurance is exposed to the risk of decrement for an associated observations.
MORT_ACTUAL_CNT,MORT_ACTUAL_AMTMeasures the decrement occurrence on a policy count or face amount of insurance basis.
MORT_EXPECTED_CNT,MORT_EXPECTED_AMTMeasures the expected decrement value for an associated observation on a policy count or face amount of insurance basis.
MORT_VARIANCE_CNT,MORT_VARIANCE_AMTMeasures the variance of the decrement expectation, also on a policy count or face amount of insurance basis. Used to calculate credibility scores and confidence intervals.
Source
All policy record detail is randomly generated. See the Society of Actuaries' publication on experience study calculations for additional information regarding experience study calculations.
