2008 OASDI Trustees Report

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V. ASSUMPTIONS AND METHODS UNDERLYINGACTUARIAL ESTIMATES

V. ASSUMPTIONS AND METHODS UNDERLYING
ACTUARIAL ESTIMATES
The future income and cost of the OASDI program will depend on many demographic, economic, and program-specific factors. Trust fund income will depend on how these factors affect the size and composition of the working population and the level and distribution of earnings. Similarly, pro­gram cost will depend on how these factors affect the size and composition of the beneficiary population and the general level of benefits.
Basic assumptions are developed for several of these factors based on analy­sis of historical trends and conditions, and on expected future conditions. These factors include fertility, mortality, immigration, marriage, divorce, productivity, inflation, average earnings, unemployment, retirement, and dis­ability incidence and termination. Other factors are projected using methods that reflect historical and expected future relationships to the basic assump­tions. These include total population, life expectancy, labor force, gross domestic product, interest rates, and many program-specific factors. It should be noted that all factors included in any consistent set of assumptions are interrelated directly or indirectly. It is also important to note that these interrelationships can and do change over time.
The assumptions and methods used in this report are reexamined each year in light of recent experience and new information about future conditions, and are revised if warranted.
Because projections of these factors and their interrelationships are inher­ently uncertain, a range of estimates is shown in this report on the basis of three sets of assumptions, designated as intermediate (alternative II), low cost (alternative I), and high cost (alternative III). The intermediate set repre­sents the Board’s best estimate of the future course of the population and the economy. In terms of the net effect on the status of the OASDI program, the low cost is the most optimistic, and the high cost is the most pessimistic. The low and high cost sets of assumptions reflect significant potential changes in the interrelationship among factors, as well as changes in the values for indi­vidual factors. The probability is very low that all the assumptions and inter­actions would differ in the same direction from those expected. Outcomes with overall cost as low as (or lower than) the low cost scenario or as high as (or higher than) the high cost scenario also have a very low probability.
Although these three sets of demographic and economic assumptions have been developed to provide a broad range of possible outcomes, the resulting estimates should be interpreted with care. The estimates are not intended to be specific predictions of the future financial status of the OASDI program, but rather, they are intended to be indicators of the expected trend and a rea­sonable range of future income and cost, under a variety of plausible demo­graphic and economic conditions.
The values for each of the demographic, economic, and program-specific factors are assumed to move from recently experienced levels or trends, toward long-range ultimate values, generally over the next 25 years. Ulti­mate values or trends reached by the end of the 75‑year long-range period are generally maintained at these levels or trends for extrapolations beyond 75 years. One exception is for real-wage growth, as described in section IV.B.5.
The assumed ultimate values, which are reached within the first 25 years (and apply thereafter through the end of the 75-year long-range period) for both the demographic and the economic factors, are intended to represent average annual experience or growth rates. Actual future values will exhibit fluctuations or cyclical patterns, as in the past.
The following sections discuss, in abbreviated form, the various assumptions and methods required to make the estimates of trust fund financial status which are the heart of this report.1 There are, of course, many interrelation­ships among these factors that make a sequential presentation potentially misleading. Nevertheless, the following sections roughly follow the order used in building the trust fund estimates presented in chapter IV.
A. DEMOGRAPHIC ASSUMPTIONS AND METHODS
The principal demographic assumptions relating to fertility, mortality, and net immigration for the three alternatives are shown in table V.A1. The rationales for selecting these assumptions are discussed in the following three sections.
1. Fertility Assumptions
Fertility (birth rate) assumptions are developed for women by single year of age, from 14 to 49. They are applied to the total number of women in the population at each age, for all marital statuses.
Historically, fertility rates in the United States have fluctuated widely. The total fertility rate2 decreased from 3.3 children per woman after World War I to 2.1 during the Great Depression, rose to 3.7 in 1957, and then fell to 1.7 in 1976. After 1976, the total fertility rate began to rise again, reaching a level of 2.07 for 1990. Since then, the total fertility rate has remained fairly stable, around 2.0 children per woman.
These variations in fertility rates have resulted from changes in many factors, including social attitudes, economic conditions, and the use of birth-control methods. Future fertility rates may be expected to remain close to recent lev­els. The recent historical and projected trends in certain population character­istics, such as the rising percentages of women who have never married, of women who are divorced, and of young women who are in the labor force, are consistent with a continued relatively low fertility rate. Based on consid­eration of these factors, ultimate total fertility rates of 2.3, 2.0 and 1.7 chil­dren per woman were selected for the low cost, intermediate, and high cost assumptions, respectively. These assumptions are unchanged from those used in last year’s report.
Based on preliminary data for 2005 and 2006, the total fertility rate is assumed to reach a level of 2.06 children per woman for 2006 and 2007. These levels are slightly higher than those estimated in last year’s report for the intermediate assumptions. For all three alternatives, the total fertility rate is then assumed to follow a gradual trend toward the selected ultimate level, which is reached for 2032 and later.
2. Mortality Assumptions
For the projections in this year’s report, assumed average percentage reduc­tions in future mortality rates were developed by age group, sex, and cause of death. These assumptions were then used to estimate future central death rates by age group, sex, and cause of death. From these estimated central death rates, resulting probabilities of death by single year of age and sex were calculated.
Historical death rates (for years 1900-2004) used in developing estimates for this report were calculated for ages below 65 (and for all ages for years prior to 1968) using data from the National Center for Health Statistics (NCHS).3 For ages 65 and over, final Medicare data on deaths and enrollments were used for years 1968 through 2004. Death rates by cause of death at all ages, for years 1979-2004, were produced by the NCHS.
The total age-sex-adjusted death rate4 declined at an average rate5 of 1.08 percent per year between 1900 and 2004. Between 1979 and 2004, the period for which death rates were analyzed by cause, the total age-sex-adjusted death rate (for all causes combined) declined at an average rate of 0.86 percent per year.
Death rates have declined substantially in the U.S. since 1990, with rapid declines over some periods and slow or no improvement over the other peri­ods. Historical death rates have generally declined more slowly for older ages than for the rest of the population. The age-sex-adjusted death rate for ages 65 and over declined at an average rate of 0.76 percent per year between 1900 and 2004. Between 1979 and 2004 the age-sex-adjusted death rate for these ages declined at an average annual rate of 0.66 percent.
Reductions in death rates have resulted from many factors, including increased medical knowledge and availability of health-care services, and improvements in sanitation and nutrition. Based on consideration of the expected rate of future progress in these and other areas, three alternative sets of ultimate annual percentage reductions in central death rates by age group, sex, and cause of death were selected for 2032 and later. The interme­diate set, which was used for alternative II, is considered to be the most likely to occur. The average annual percentage reductions used for alternative I are generally smaller than those for alternative II, while those used for alternative III are generally greater. These three sets of ultimate annual percentage reductions differ only slightly from those used in last year’s report.
After 2004, the reductions in central death rates for alternative II are assumed to change rapidly from the average annual reductions by age group, sex, and cause of death observed between 1984 and 2004, to the ultimate annual percentage reductions by age group, sex, and cause of death assumed for 2032 and later. The reductions in death rates under alternatives I and III are also assumed to change rapidly to their ultimate levels, but start from lev­els which are, respectively, 50 or 150 percent of the average annual reduc­tions observed between 1984 and 2004.
Projections of age-sex-adjusted death rates are presented in table V.A1 for the total (all ages), for under age 65, and for ages 65 and over. Under the intermediate assumptions, these projected age-sex-adjusted death rates are lower than the death rates in last year’s report. New final death data for 2004 indicate a substantial decrease in the total age-sex-adjusted death rate of about 4 percent for the year. However, preliminary death data for 2005 and 2006 indicate little, if any, further decline from the 2004 death rates. This suggests that the large decline for 2004 may have resulted in part from an acceleration of declines that would have been expected to occur in later years.
After adjustment for changes in the age-sex distribution of the population, the resulting total death rates are projected to decline at ultimate average annual rates of about 0.32 percent, 0.73 percent, and 1.21 percent between 2032 and 2082 for alternatives I, II, and III, respectively. In keeping with the patterns observed in the historical data, future rates of decline are assumed to be greater for younger ages than for older ages, but to a substantially lesser degree than in the past. Accordingly, age-sex-adjusted death rates for ages 65 and over are projected to decline at average annual rates of about 0.28 percent, 0.65 percent, and 1.13 percent between 2032 and 2082 for alternatives I, II, and III, respectively.
There is a wide range of opinion among experts on the likely rate of future decline in death rates. For example, the 2003 Technical Panel on Assump­tions and Methods appointed by the Social Security Advisory Board believed that ultimate rates of decline in mortality will be higher than the rates of decline assumed for the intermediate projections in this report. Others believe that biological and social factors may slow future rates of decline in mortality. Evolving mortality trends and developments in health care and life style will be closely monitored to determine what further modifications to the assumed ultimate rates of decline in mortality may be warranted for future reports.
3. Immigration Assumptions
In order to develop projections of the total Social Security area population, assumptions are made for annual legal immigration, legal emigration, other immigration, and other emigration. Legal immigration consists of persons who are granted legal permanent resident (LPR) status. Legal emigration consists of those legal immigrants and native-born citizens who leave the Social Security area population. Net legal immigration is then calculated as the difference between legal immigration and legal emigration. Other immi­gration consists of immigrants who enter the Social Security area and stay 6 months or more but without LPR status, such as undocumented immigrants and temporary foreign workers and students. Other emigration consists of other immigrants who leave the Social Security area population or who adjust their status to LPR. Net other immigration is then calculated as the dif­ference between other immigration and other emigration. For previous Trust­ees Reports, annual net other immigration was assumed without making explicit assumptions for other immigrants or other emigrants.
Separate assumptions are developed for the low cost, intermediate, and high cost scenarios. The low cost scenario includes higher annual net immigration and the high cost scenario includes lower annual net immigration.
Legal immigration increased after World War II to around 300,000 persons per year and remained around that level until shortly after 1960. With the Immigration Act of 1965 and other related changes, annual legal immigra­tion increased to about 400,000 and remained fairly stable until 1977. Between 1977 and 1990, legal immigration once again increased, averaging about 580,0006 per year. The Immigration Act of 1990, which took effect in fiscal year 1992, restructured the immigration categories and increased sig­nificantly the number of immigrants who may legally enter the United States.
Legal immigration averaged about 790,0006 persons per year during the period 1992 through 2000. Legal immigration increased to about 900,000 in 2000 and about 1,000,000 in 2001 reflecting primarily an increase in the number of persons granted LPR status as immediate relatives of U.S. citi­zens, the only category of legal immigration that is not numerically limited. However, legal immigration declined to less than 800,000 by 2003 as the number of pending applications increased. Since 2003, legal immigration has increased, rising above 1,100,000 in 2005 and reaching a level over 1,200,000 in 2006. Legal immigration in excess of 1,000,000 reflects the concerted effort in recent years to reduce the backlog of pending applications for LPR status.
For the intermediate alternative, it is assumed that the backlog of pending applications will be reduced by the end of 2009, and thereafter legal immi­gration will average approximately 1,000,000 persons per year. For alterna­tives I and III, annual legal immigration is ultimately assumed to be 1,200,000 persons and 800,000 persons, respectively. These are higher than the ultimate legal immigration assumptions used in the 2007 report, which were 1,062,500, 800,000, and 675,000 for alternatives I, II, and III, respec­tively.
The ratios of annual legal emigration to legal immigration are assumed to be 20, 25, and 30 percent for alternatives I, II, and III, respectively. This range is consistent with the limited historical data for legal emigration from the Social Security area. These are the same ratios used in the 2007 Trustees Report. Combining the annual legal immigration and emigration assump­tions, results in ultimate net legal immigration of 750,000 persons per year under the intermediate alternative. For the low cost and high cost scenarios, ultimate annual net legal immigration is 960,000 persons and 560,000 per­sons, respectively.
Significant changes for projecting other immigration are implemented in this year’s report. In previous reports, annual other immigration was estimated by assuming a fixed number of net other immigrants with a static age-sex distri­bution. For this year’s report, the annual numbers of other immigrants and other emigrants are modeled separately. In addition, the new model reflects the fact that many new legal immigrants are persons who adjust to LPR sta­tus from the other-immigrant population.
The number of other immigrants residing in the Social Security area popula­tion is estimated to have been about 9.7 million persons as of April 1, 2000, increasing to about 13.0 million persons as of January 1, 2006. This other-immigrant population is highly mobile and far more likely to leave the Social Security area than is the native-born or legal-immigrant population. The average number of persons entering the other-immigrant population in the period 2000 through 2006 is estimated to have been about 1.5 million per­sons per year. During the same period, the number of other immigrants who left the Social Security area or adjusted status to become an LPR averaged about 950,000 per year. Thus, annual net other immigration during this time period is estimated to have averaged approximately 550,000 persons.
For the intermediate assumptions, annual other immigration is assumed to continue at the level of 1.5 million persons throughout the projection period. For the low and high cost scenarios, future annual other immigration is assumed to average 1.8 million persons and 1.2 million persons, respec­tively.
Emigration from the other-immigrant population includes those who leave the Social Security area and those who adjust status to become LPRs. The annual number of other immigrants who leave the Social Security area is estimated based on modeled departures for the period 2000-06, disaggre­gated into two groups. The first departing group is calculated by applying a set of annual departure rates, by age and sex, to the other-immigrant popula­tion in the Social Security area. The second departing group is set at fixed annual numbers of departures, by age and sex, which remain constant throughout the projection period. For the intermediate assumptions, the ulti­mate annual number of other immigrants who adjust status to become an LPR is assumed to be 500,000, or one third of the annual number of other immigrants entering the Social Security area. For the low and high cost sce­narios, ultimate annual numbers adjusting status to LPR are assumed to aver­age 600,000 persons and 400,000 persons, respectively.
Under the assumptions and methods described above, the size of the other-immigrant population is projected to grow substantially. This growth reflects the excess of annual other immigration over the combined annual numbers of emigrants and deaths that occur within the other-immigrant population.
Net other immigration decreased from a level averaging well over 550,000 per year in the period 2000 through 2003, to about 380,000 in 2006, reflect­ing an increase in the number of other immigrants adjusting to LPR status as a result of the effort to reduce the backlog of applications for LPR status. By 2010, when the backlog of applications is expected to be eliminated, net other immigration is projected to rise to a level of about 445,000 persons per year. After 2010, net other immigration is projected to decline steadily to about 275,000 in 2061 and to remain fairly stable thereafter. The decline in net other immigration is attributable to the increasing number of other immi­grants residing in the Social Security area, which results in an increase in the numbers who emigrate out of the area based on the rates of departure described above. All other components of other immigration and emigration are set at fixed levels after 2009, and thus do not contribute toward any change in net other immigration. While annual net other immigration is pro­jected to fall below the ultimate assumption of 300,000 used in last year’s report, average annual net other immigration over the 75-year projection period in this year’s report is higher, at 315,000 persons. Net other immigra­tion is estimated to average about 415,000 persons per year under the low cost assumptions and 225,000 persons per year under the high cost assump­tions.
The total level of net immigration (legal and other combined) is estimated to average 1,070,000 persons per year during the 75-year projection period under the intermediate assumptions. For the low cost assumptions, total net immigration is estimated to average 1,375,000 persons per year. Under the high cost assumptions, total net immigration is estimated to average 790,000 persons per year.
Demographers express a wide range of views about the future course of immigration for the United States. Some, like the 2003 Technical Panel men­tioned in the previous section, believe that immigration will increase sub­stantially in the future. Others believe that potential immigrants may be attracted to other countries or that the U.S. borders could be tightened in the future.
 
Total
fertility
rate1
Age-sex-adjusted death rate 2
per 100,000, by age
Net immigration

1
The total fertility rate for any year is the average number of children who would be born to a woman in her lifetime if she were to experience the birth rates by age observed in, or assumed for, the selected year, and if she were to survive the entire childbearing period. The ultimate total fertility rate is assumed to be reached in 2032.

2
The age-sex-adjusted death rate is the crude rate that would occur in the enumerated total population as of April 1, 2000, if that population were to experience the death rates by age and sex observed in, or assumed for, the selected year.

3
Historical estimates of net legal immigration assume a 25 percent reduction in legal immigration due to legal emigration. Estimates do not include persons legalized under the Immigration Reform and Control Act of 1986.

4
Net other annual immigration is estimated to have averaged 375,000 persons over the period 1980-89 and 550,000 persons over the period 1990-99.

5
Estimated.

4. Total Population Estimates
Combining the above assumptions for future fertility, mortality, and net immigration with assumptions on marriage and divorce based on data from the NCHS, projections were made of the population in the Social Security area by age, sex, and marital status as of January 1 of each year 2007 through 2085. The starting Social Security area population for January 1, 2006, is based on the Census Bureau’s estimate of the residents of the 50 States and D.C., and U.S. Armed Forces overseas. The base estimate is adjusted for net census undercount and increased for other U.S. citizens living abroad (including residents of U.S. territories) and for non-citizens living abroad who are insured for Social Security benefits. This starting population was then projected using assumed rates of birth, death, marriage and divorce, and assumed levels of net immigration.
Table V.A2 shows the historical and projected population as of July 1 by broad age group, for the three alternatives. Also shown are aged and total dependency ratios (see table footnotes for definitions).
 
65 and
over

1
Ratio of the population at ages 65 and over to the population at ages 20-64.

2
Ratio of the population at ages 65 and over and the population under age 20 to the population at ages 20‑64.

3
Estimated.

Notes:
1. Historical data are subject to revision.
2. Totals do not necessarily equal the sums of rounded components.
5. Life Expectancy Estimates
Life expectancy, or average remaining number of years expected prior to death, is a useful analytical concept. Life expectancy is calculated in two dif­ferent forms, for two separate purposes.
Period life expectancy is calculated for a given year using the actual or expected death rates at each age for that year. It is a useful summary statistic for illustrating the overall level of the death rates experienced in a single year. It is thus closely related to the age-sex-adjusted death rate that is dis­cussed in section V.A2. Period life expectancy for a particular year may be viewed as the expected remaining life at a selected age only if it is assumed that there is no change in death rates after that year.
Cohort life expectancy truly answers the question “What is the expected average remaining lifetime for an individual at a selected age in a given year?” Cohort life expectancy is calculated using death rates not from a sin­gle year, but from the series of years in which the individual will actually reach each succeeding age if he or she survives. Cohort life expectancy is shown in table V.A4 for those born on January 1 of each calendar year, and for those attaining age 65 on January 1 of each calendar year.
Tables V.A3 and V.A4 present historical and projected life expectancy calcu­lated on both period and cohort bases. Cohort life expectancy is somewhat greater than period life expectancy for the same year. This is because death rates for any given age tend to decline as time passes and the cohort grows older.