Burdick Clark, Manchester Joyce
Soc Secur Bull. 2003;65(1):26-31.
Each year in March, the Board of Trustees of the Social Security trust funds reports on the current and projected financial condition of the Social Security programs. Those programs, which pay monthly benefits to retired workers and their families, to the survivors of deceased workers, and to disabled workers and their families, are financed through the Old-Age, Survivors, and Disability Insurance (OASDI) Trust Funds. In their 2003 report, the Trustees present, for the first time, results from a stochastic model of the combined OASDI trust funds. Stochastic modeling is an important new tool for Social Security policy analysis and offers the promise of valuable new insights into the financial status of the OASDI trust funds and the effects of policy changes. The results presented in this article demonstrate that several stochastic models deliver broadly consistent results even though they use very different approaches and assumptions. However, they also show that the variation in trust fund outcomes differs as the approach and assumptions are varied. Which approach and assumptions are best suited for Social Security policy analysis remains an open question. Further research is needed before the promise of stochastic modeling is fully realized. For example, neither parameter uncertainty nor variability in ultimate assumption values is recognized explicitly in the analyses. Despite this caveat, stochastic modeling results are already shedding new light on the range and distribution of trust fund outcomes that might occur in the future.
每年3月,社会保障信托基金理事会都会报告社会保障计划当前及预期的财务状况。这些计划每月向退休工人及其家属、已故工人的遗属以及残疾工人及其家属支付福利金,其资金来源于老年、遗属和残疾保险(OASDI)信托基金。在其2003年的报告中,理事会首次公布了OASDI信托基金综合随机模型的结果。随机建模是社会保障政策分析的一项重要新工具,有望为OASDI信托基金的财务状况以及政策变化的影响提供宝贵的新见解。本文给出的结果表明,尽管几种随机模型采用了截然不同的方法和假设,但得出的结果大致一致。然而,结果也显示,随着方法和假设的不同,信托基金结果的变化也有所不同。哪种方法和假设最适合社会保障政策分析仍是一个悬而未决的问题。在随机建模的前景完全实现之前,还需要进一步研究。例如,分析中未明确考虑参数不确定性或最终假设值的变异性。尽管有这一警告,但随机建模结果已经为未来可能出现的信托基金结果的范围和分布带来了新的启示。