2003 OASDI Trustees Report 

VI. APPENDICES
Significant uncertainty surrounds the estimates under the intermediate assumptions, especially for a period as long as 75 years. This appendix presents a way to illustrate the uncertainty of these estimates. It is intended to supplement the traditional methods of examining such uncertainty and to illustrate the potential value of new techniques.
Due to time constraints, results presented reflect the intermediate assumptions and the methods of the 2002 Trustees Report. Updating to the assumptions and methods of the 2003 Trustees Report is not expected to materially change the results.
The Trustees Report has traditionally shown additional estimates using a low cost and a high cost set of specified assumptions to reflect the presence of uncertainty. These additional estimates provide a range of possible outcomes for the projections. However, they provide no indication of the probability that actual future experience will be inside or outside the range of these estimates. For the first time, this Trustees Report presents the results of a new model, based on stochastic modeling techniques, that estimates a probability distribution of future outcomes of the financial status of the combined OASI and DI Trust Funds. It should be noted that this model is in its first stage of development. Future improvements and refinements to the model are expected. In particular, future revisions are expected to reflect a fuller range of uncertainty about the future, as is discussed below.
Other sections of this report provide estimates of the financial status of the combined OASI and DI Trust Funds using a "deterministic" model. For the deterministic model, certain assumptions are made regarding levels of fertility, changes in mortality, immigration levels, emigration levels, net otherthanlegal immigration levels, changes in average real wages, changes in the consumer price index, unemployment rates, trust fund real yield rates, and disability incidence and recovery rates. Each of these variables will reach an assumed ultimate value at a specific point during the longrange period and will maintain that value throughout the remainder of the period. As mentioned above, three deterministic scenarios are developed assuming separate, specified values for each of these variables.
In contrast, the results of five thousand independent stochastic simulations are presented in this appendix. Each of the five thousand simulations is determined by allowing the above variables to vary throughout the longrange period. The fluctuation in the variable is projected by using standard timeseries modeling, a method designed to help make inferences based on historical data. Generally, each variable is modeled by an equation that captures a relationship between current and prior years' values of the variable and introduces year by year random variation, as reflected in the historical period. For some variables, the equations additionally establish relationships with other variables. Parameters for the equations are fitted to historical data for periods ranging from the past 16 years to the past 100 years depending on the nature and quality of data available. More detail on these equations, this model, and stochastic modeling in general is available on the internet at www.ssa.gov/OACT/stochastic/index.html. Each timeseries equation is designed such that, in the absence of random variation, the value of the variable would equal the value assumed under the intermediate set of assumptions.
For each simulation of the model, values of the variables listed above are determined by using Monte Carlo techniques to randomly assign the year by year variations. Each simulation produces an estimate of the financial status of the combined OASI and DI Trust Funds. Results shown in this section, based on the five thousand simulations of the model, reflect the distribution of results.
The results from this model should be interpreted with caution and with a full understanding of the inherent limitations. Results could differ significantly if any of several alternative equations were specified for one of the variables, the degree of covariance among variables were modified, or the historical period used in fitting any of the equations to the variable values were changed. For some variables, using the variations exhibited in a relatively recent historical period may not provide a realistic representation of the potential variation for the future. In addition, results would differ if additional variables other than those mentioned above (such as labor force participation rates, retirement rates, marriage rates, and divorce rates) were included in the modeling. Generally, adding additional variables would increase the variability of the results. Furthermore, additional variability could result from incorporating statistical approaches that would more fully model change in the longrange central tendencies of the variables. The historical period available for most variables is relatively homogeneous and does not reflect many substantial shifts. The timeseries modeling reflects what occurred in the historical period. As a result, the variation indicated in this appendix should be viewed as the minimum plausible potential variation for the future. Substantial shifts, as predicted by many experts and as seen in prior centuries, are not fully reflected in the current model.
The probability distribution of the annual trust fund ratios for the combined OASI and DI Trust Funds is shown in figure VI.E1. The two extreme lines in this figure illustrate the range within which future annual trust fund ratios are estimated to occur 95 percent of the time (i.e., a 95percent confidence interval). In other words, actual future trust fund ratios in a given year would be expected to exceed the upper bound only 2.5 percent of the time or to fall below the lower bound 2.5 percent of the time. Other lines in the figure display additional confidence intervals (80percent, 60percent, 40percent, and 20percent) around future annual trust fund ratios. The median estimate for each year indicates the trust fund ratio which is projected by this model to fall exactly in the middle of possible outcomes for that year. It is important to note that these lines do not represent the results of individual stochastic simulations. Instead, for each given year, they represent the percentile distribution of trust fund ratios based on all stochastic simulations for that year.
The median estimate for each year indicates that the assets of the combined OASI and DI Trust Funds would be exhausted by 2041 with a probability of 50 percent. This exhaustion date is the same as the year of exhaustion projected under the intermediate assumptions in the 2002 Trustees Report. Figure VI.E1 also shows that there is a 2.5 percent chance that the trust funds will become exhausted after 2074. In comparison, the assets of the combined OASI and DI Trust Funds are not projected to exhaust during the 75year period under the low cost assumptions of the 2002 Trustees Report. Figure VI.E1 also shows that there is a 2.5 percent chance of the trust funds becoming exhausted by 2032. This year is 3 years later than 2029, the year of exhaustion projected under the high cost assumptions of the 2002 Trustees Report. Thus, results from the stochastic model show that the 95percent confidence interval does not include the exhaustion date under the low cost or high cost alternatives.
The probability distribution of the yearbyyear OASDI cost rates (i.e., cost as a percentage of taxable payroll) are shown in figure VI.E2. The range of the cost rates widens as the projections move further into the future, reflecting increasing uncertainty. The income rate under the intermediate assumptions is also included in the graph in order to give some indication of the patterns of cash flow for the OASDI program. Only this income rate is included because of the relatively small variation in income rates throughout the projection period. The lines in the figure display the median set (50th percentile) of estimated annual cost rates and the 95percent, 80percent, 60percent, 40percent, and 20percent confidence intervals expected for future annual cost rates. It is important to note that these lines do not represent the results of individual stochastic simulations. Instead, for each given year, they represent the percentile distribution of cost rates based on all stochastic simulations for that year.
Table VI.E1 displays longrange actuarial estimates for the combined OASDI program resulting from using both the deterministic and stochastic approaches reflecting the assumptions of the 2002 Trustees Report. Actuarial estimates included in the table are for the longrange period, 200276. Stochastic estimates are shown for the median (50th percentile) and for the 95percent and 80percent confidence intervals. For comparison, deterministic estimates are shown for the intermediate, low cost, and high cost assumptions. Each stochastic estimate displayed in the table does represent the results of one stochastic simulation. However, for a given percentile, the stochastic estimates shown for the different longrange actuarial measures are generally not from the same stochastic simulation.
Median stochastic estimates for the actuarial measures displayed in table VI.E1 are the same or slightly more pessimistic for the combined OASI and DI Trust Funds than those projected under the intermediate assumptions in the 2002 Trustees Report. The median estimate of the longrange actuarial balance is 1.92 percent of taxable payroll, 0.05 percentage points lower than projected under the intermediate assumptions. The median estimate for the first year cost exceeds tax income is 2017 and for the year assets first become exhausted is 2041. These are the same as those projected under the intermediate assumptions. The median estimate for the annual cost in the 75th year of the projection period is 20.33 as a percent of taxable payroll and 7.17 as a percent of GDP. The comparable estimates using the intermediate assumptions are 19.84 and 7.00, respectively.
The 95percent confidence interval determined by the stochastic modeling projections can be compared to the range of variation defined by the traditional low cost and high cost alternatives. For two of the measures in table VI.E1 (the actuarial balance and the year assets become first exhausted), the 95percent stochastic projection range is narrower than the range defined by the low cost and high cost alternatives. That is, for these measures, the estimates under the low cost and high cost alternatives fall outside the 95percent confidence interval determined by the stochastic modeling projections. In contrast, for two other measures in the table (the first year cost exceeds tax income and the annual cost in the 75th year of the projection period expressed as a percent of GDP), the 95percent stochastic projection range includes the estimates under the low and high cost alternatives. For the remaining measure in the table (the annual cost in the 75th year of the projection period expressed as a percent of taxable payroll), the 95percent stochastic projection range includes the estimates under the high cost alternative, but does not include the low cost estimates.

Traditional
deterministic model 

Stochastic model



Interme
diate 
Low
Cost 
High
Cost 
Median
50th percentile 

80Percent
confidence interval 

95Percent
confidence interval 

10th
percentile 
90th
percentile 
2.5th
percentile 
97.5th
percentile 

Actuarial balance

1.87

0.44

5.00


1.92


3.28

0.71


4.07

0.17

Open group unfunded obligation (in trillions)

$3.3

$1.1

$9.3


$3.5


$6.3

$1.1


$8.2

^{2/}

First year cost exceeds tax income

2017

2021

2013


2017


2014

2020


2013

2022

Year assets become exhausted

2041

^{3/}

2029


2041


2034

2057


2032

2075

Annual cost in 75th year (percent of taxable payroll)

19.84

14.24

28.51


20.33


16.32

25.72


14.53

29.98

Annual cost in 75th year (percent of GDP)

7.00

5.43

9.28


7.17


5.76

9.08


5.13

10.23

^{1}75year period: 20022076. ^{2}Less than $50 billion. ^{3}The fund is not estimated to be exhausted within the projection period. 
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