Estimating the Workers Compensation Tail Richard Sherman

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Estimating the

Workers Compensation

Tail

Richard Sherman

&

Gordon Diss

SAIF Corp. (Oregon State Fund)

Extensive data for 160,000 permanent disability claims.

Accident years 1926-2002.

77 years of development experience.

Medical & indemnity payments separated.

Separate data by injury type.

Workers Compensation

Medical Permanent

Disability (MPD)

Paid Loss Development Factors

Age to Age MPD Paid LDFs

Years of Development

2 3 4 5 6 7 8 9 10 11 12 13 14 15

6.624 1.525 1.140 1.072 1.041 1.027 1.019 1.020 1.015 1.013 1.012 1.013 1.012 1.010

Your guess of a tail factor at 15 years? ______

16

Age to Age MPD Paid LDFs

Years of Development

17 18 19 20 21 22 23 24 25

1.011 1.013 1.011 1.011 1.012 1.012 1.014 1.012 1.015 1.015

Your guess of a tail factor at 25 years? ______

Age to Age MPD Paid LDFs

Years of Development

26 27 28 29 30 31 32 33 34 35

1.016 1.020 1.023 1.027 1.026 1.022 1.018 1.015 1.017 1.018

Your guess of a tail factor at 35 years? ______

Comparison of Your Guesses to SAIF’s Indicated Paid Tail Factors

Maturity Your

(Years)

15

25

Guess

_______

_______

SAIF’s MPD

Tail Factor

______

______

INVESTIGATING THE CIA

C

OMMON

I

NTUITIVE

A

SSUMPTION

MPD TAIL FACTORS

BEHAVE LIKE TAIL FACTORS

CIA-1

IN OTHER CASUALTY LINES.

COMMON TAIL METHODS

ARE APPLICABLE.

COMMON TAIL METHODS

REPEAT THE LAST FACTOR

LINEAR DECAY

EXPONENTIAL DECAY

INVERSE POWER CURVE

LATEST INCURRED TO PAID RATIO

CIA-2

Since there are relatively few MPD claims and since they represent a small portion of current calendar year payments,

MPD reserves should be relatively small

SAIF’s Indicated Paid Tail Factors

Maturity

(Years) MPD Other WC Total WC

10

15

25

35

2.469

2.328

2.054

1.680

1.263

1.234

1.129

1.052

1.671

1.613

1.457

1.294

Medical Permanent Disability

CIA-3

Paid Loss Development Factors

Decrease

Monotonically

Model v. Actual SAIF PLDFs Less 1.0

0.07

0.06

0.05

0.04

0.03

0.02

0.01

0.00

6

10 14 18 22 26 30 34 38 42 46 50 54 58

Year of Development

Model

SAIF

S

OPPOSITE INFLUENCES

FORCE OF MORTALITY

VERSUS

FORCE OF MEDICAL COST ESCALATION

A) Incremental Paid Losses ($000’s)

AY 12 24 36 48 60 72

1997 2,823 15,936 9,182 4,282 2,064 1,411

1998 2,638 14,250 9,096 2,936 3,214

1999 3,331 15,806 9,735 4,309

2000 3,170 18,602 12,462

2001 3,143 20,306

2002 4,263

B) Open Counts

AY 12 24 36 48 60 72

1997 362 1,112 793 490 375 324

1998 338 888 628 431 352

1999 343 840 664 492

2000 268 867 731

2001 276 897

2002 333

C) Incremental Paid per Prior Open

AY 24 36 48 60 72

1997 44,022 8,257 5,399 4,212 3,764

1998 42,159 10,244 4,675 7,459

1999 46,021 11,589 6,489

2000 69,411 14,374

2001 73,572

2002

CIA-4

Historical incremental paid losses prior to the development triangle are useless.

Incremental data prior to the triangle

AY

1926

I

AY

1966

C

AY

2002

Development Years (DY)

10 20 30 40 50 60

70

MUELLER INCREMENTAL TAIL METHOD

Calculate future incremental payments as a percent of the incremental payment in a given anchor year.

Cumulate and smooth these future payments as a % of payments in the anchor year.

Convert to a tail factor by applying the result above to an age to age development factor from the main triangle.

See paper for details.

CIA-5

For a given development period,

Worker’s Compensation tail factors should be constant for all accident years

Testing CIA-5 with an Illustrative Model

35 successive AYs that are identical except:

Applicable mortality table varies by CY.

Used projected Social Security mortality table for future mortality rates.

Each AY starts with 5,000 permanent disability cases. All assumptions fit SAIF’s historical patterns.

Indicated WC MPD Tail Factors

End of Development Year

AY 10 20 30 40 50 60 70 80

1970 2.570 2.177

1.773 1.438 1.210 1.075 1.015 1.0012

1975 2.628 2.223

1.805 1.456 1.220 1.080 1.016 1.0013

1980 2.701 2.279

1.842 1.477 1.231 1.085 1.018 1.0014

1985 2.774 2.336

1.879 1.499 1.242 1.090 1.020 1.0016

1990 2.848 2.393

1.918 1.521 1.253 1.095 1.021 1.0017

1995 2.921 2.451

1.957 1.543 1.265 1.101 1.023 1.0019

2000 2.990 2.505 1.993 1.563 1.275 1.105 1.023 1.0021

Life Expectancies at Different Ages—Male

Based on Social Security Administration Mortality Tables

Current

Age 1960 1980 2000 2020 2040 2060 2080

20 49.7 51.7 54.7 56.8 58.7 60.3 61.8

40 31.3

33.5

36.2

38.1

39.8

41.4

42.7

60 15.9 17.3 19.3 20.8 22.2 23.4 24.6

80 6.0 6.8 7.2 7.8 8.6 9.4 10.1

Number of Open Claims for Representative

Accident Years at Five Year Intervals of Development

End of Development Year

AY 10 20 30 40 50 60 70 80

1970 196 119 71 33 12 3.5 0.5 0.02

1975 197 120 73 34 13 3.7 0.6 0.03

1980 200 123 76 36 14 3.9 0.6 0.03

1985 202 126 79 38 14 4.2 0.7 0.04

1990 204 128 81 39 15 4.4 0.7 0.04

1995 206 130 83 41 16 4.7 0.8 0.05

2000 207 132 86 42 17 5.0 0.9 0.06

CIA-6

For a given development period,

Worker’s Compensation age-to-age paid loss development factors should be constant for all accident years

Trends in Five Year Paid Loss Development Factors

Development Years

AY 15/10 20/15 25/20 30/25 35/30 40/35 45/40 50/45 55/50

1970 1.082 1.091 1.103

1.113 1.114 1.107 1.097 1.084 1.069

1975 1.083 1.092 1.105 1.115 1.116 1.110 1.099 1.086 1.071

1980 1.084 1.094 1.107

1.118 1.119 1.114 1.103 1.089 1.073

1985 1.084 1.095 1.109

1.120 1.123 1.117 1.106 1.092 1.076

1990 1.085 1.096 1.111

1.123 1.126 1.120 1.109 1.094 1.078

1995 1.086 1.097 1.113

1.126 1.129 1.123 1.112 1.097 1.081

2000 1.087 1.098 1.114

1.128 1.132 1.126 1.115 1.100 1.083

CIA-7

Mortality rates of the disabled are distinctly greater than those for the general public

Injured Worker Mortality Rates

For ages < 60, injured worker mortality rates somewhat higher.

“Between age 60 and 74, the injured worker mortality rate does not differ appreciable from U.S. Life. The differences in mortality, even if accepted, do not imply significant redundancy or inadequacy of tabular reserves.” Gillam, William R., “Injured

Worker Mortality”, CAS Forum, Winter 1991

“Injured worker mortality after some years comes close to standard mortality, and after some age may actually be lower.”

Venter, Schill and Barnett, “Review of Report of Committee on

Mortality for Disabled Lives”, CAS Forum, Winter 1991

Standard mortality rates fit SAIF’s historical experience well.

As permanently disabled claimants age, neither utilization nor severity changes.

CIA-8

Model v. Actual SAIF PLDFs Less 1.0

0.07

0.06

0.05

0.04

0.03

0.02

0.01

0.00

6

10 14 18 22 26 30 34 38 42 46 50 54 58

Year of Development

Model

SAIF

S

Case reserves based on

CIA-9 inflating payments until the expected year of death are at the expected level

Calculating a Realistic

Expected Case Reserve

Age 35, $5,000 current annual medical costs, 9% future medical inflation.

Total inflated payments through expected year of death (at age 75): $1.69 million.

Expected total payout over scenarios of all possible years of death: $2.88 million, or 70% more.

Deaths and Expected Payouts by Age

0.06

0.05

0.04

0.03

0.02

0.01

0.00

36 42 48 54 60 66 72 78 84 90 96

102 108

Age

Exp. Losses

Deaths

Monte Carlo simulation of

CIA-10

MPD losses will reasonably estimate the variability of

MPD reserves

Markov Chain Model

Typical Monte Carlo simulation involves utilization of size of loss distribution based on incurred amounts, all of which are well below their expected value.

Better to model year-byyear payments for individual claimants using a

Markov chain approach.

1

2

3.2

Calendar Year of Payment

Claim 2004 2005 2006 2007

3.5

12.7

13.8

3.8

- -

4.0

- -

3 8.1

8.8

9.6

- -

CONCLUSIONS

Data prior to traditional triangle can be used effectively.

All 10 CIAs do not apply to MPD payments and reserves.

MPD PLDFs increase for many mature DYs.

MPD paid tails and incremental PLDFs trend upward as mortality rates decline.

Utilization and severity are higher than expected for elderly permanently disabled claimants.

Common methods significantly underestimate the expected value of MPD case reserves.

Common methods understate MPD reserve variability.

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