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PROCEEDINGS May 15, 16, 17, 18, 2005 - Casualty Actuarial Society

PROCEEDINGS May 15, 16, 17, 18, 2005 - Casualty Actuarial Society

PROCEEDINGS May 15, 16, 17, 18, 2005 - Casualty Actuarial Society

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674 ESTIMATING THE WORKERS COMPENSATION TAILTABLE D.2Sample One-Year l(x) ValuesCalendar YearAge 1970 1980 1990 2000 2020 2040 206020 .99825 .99844 .99870 .99890 .99909 .99922 .9993435 .99761 .99813 .99783 .99828 .99846 .99870 .9989050 .99139 .993<strong>15</strong> .99444 .99504 .99603 .9967 .9972265 .97039 .97476 .97794 .98062 .98385 .98629 .988<strong>18</strong>80 .90614 .9<strong>16</strong>92 .92396 .92972 .94071 .95024 .95739TABLE D.3Shifted l(x) Array: AgeYear of DevelopmentAge at Injury 1 2 3 4 5 6 720 21 22 23 24 25 26 2721 22 23 24 25 26 27 2822 23 24 25 26 27 28 2923 24 25 26 27 28 29 3024 25 26 27 28 29 30 31Table D.5 provides a side-by-side comparison of parallel calculationsof the expected number of surviving claimants at theend of each calendar year for the static and trended mortalitymethods. The example presented is for claimants who were 50years old when they were injured (during AY 2002).In Table D.5 we started with the same number of survivingclaimants at the beginning of CY 2031 (100.00). Nevertheless,at the beginning of CY 2035, we would be expecting 73.42 suchclaimants to still be alive using a 2000 mortality table while79.30 claimants would be alive using a series of mortality tablescorresponding to CYs 2031 through 2034. In this example, wewould be expecting 8% more claimants to still be alive at the

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