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NOTE 8 — DEFINED BENEFIT PENSION PLANS — STATE-WIDE (CONTINUED) <br />E. Actuarial Assumptions <br />The total pension liability in the June 30, 2019, actuarial valuation was deteiniined using an individual <br />entry -age noinial actuarial cost method and the following actuarial assumptions: <br />Inflation 2.50% per year <br />Active Member Payroll Growth 3.25% per year <br />Investment Rate of Return 7.50% <br />Salary increases were based on a service -related table. Mortality rates for active members, retirees, <br />survivors and disabilitants for all plans were based on RP-2014 tables for males or females, as <br />appropriate, with slight adjustments to fit PERA's experience. Cost of living benefit increases after <br />retirement for retirees are assumed to be 1.25 percent per year for GERF and 1 percent per year for <br />PEPFF. <br />Actuarial assumptions used in the June 30, 2019, valuation were based on the results of actuarial <br />experience studies. The most recent six -year experience study in the GERF was completed in 2019. <br />The most recent four-year experience study for PEPFF was completed in 2016. Economic assumptions <br />were updated in 2018 based on a review of inflation and investment return assumptions. <br />The following changes in actuarial assumptions occurred in 2019: <br />1. GERF: <br />• The mortality projection scale was changed from MP-2017 to MP-2018. <br />2. PEPFF: <br />• The mortality projection scale was changed from MP-2017 to MP-2018 <br />The following changes in plan provisions occurred in 2019: <br />1. GERF: <br />• The employer supplemental contribution was changed prospectively, decreasing from $31.0 <br />million to $21.0 million per year. The State's special funding contribution was changed <br />prospectively, requiring $16.0 million due per year through 2031. <br />The State Board of Investment, which manages the investments of PERA, prepares an analysis of the <br />reasonableness on a regular basis of the long-teiui expected rate of return using a building-block method in <br />which best -estimate ranges of expected future rates of return are developed for each major asset class. <br />These ranges are combined to produce an expected long-teiui rate of return by weighting the expected <br />future rates of return by the target asset allocation percentages. <br />84 <br />