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Stochastic Forecasts of the Social Security Trust Fund

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  • Ronald D. Lee

    (University of California at Berkeley)

  • Michael W. Anderson
  • Shripad Tuljapurkar

    (Stanford University)

Abstract

We present stochastic forecasts of the Social Security trust fund by modeling key demographic and economic variables as historical time series, and using the fitted models to generate computer simulations of future fund performance. We evaluate several plans for achieving long-term solvency by raising the normal retirement age (NRA), increasing taxes, or investing some portion of the fund in the stock market. Stochastic population trajectories by age and sex are generated using the Lee-Carter and Lee- Tuljapurkar mortality and fertility models. Interest rates, wage growth and equities returns are modeled as vector autoregressive processes. With the exception of mortality, central tendencies are constrained to the Intermediate assumptions of the 2002 Trustees Report. Combining population forecasts with forecasted per-capita tax and benefit profiles by age and sex, we obtain inflows to and outflows from the fund over time, resulting in stochastic fund trajectories and distributions. Under current legislation, we estimate the chance of insolvency by 2038 to be 50%, although the expected fund balance stays positive until 2041. An immediate 2% increase in the payroll tax rate from 12.4% to 14.4% sustains a positive expected fund balance until 2078, with a 50% chance of solvency through 2064. Investing 60% of the fund in the S&P 500 by 2015 keeps the expected fund balance positive until 2060, with a 50% chance of solvency through 2042. An increase in the NRA to age 69 by 2024 keeps the expected fund balance positive until 2047, with a 50% chance of solvency through 2041. A combination of raising the payroll tax to 13.4%, increasing the NRA to 69 by 2024, and investing 25% of the fund in equities by 2015 keeps the expected fund balance positive past 2101 with a 50% chance of solvency through 2077.

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Bibliographic Info

Paper provided by University of Michigan, Michigan Retirement Research Center in its series Working Papers with number wp043.

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Length: 36 pages
Date of creation: Jan 2003
Date of revision:
Handle: RePEc:mrr:papers:wp043

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References

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  1. Tuljapurkar, Shripad, 1992. "Stochastic population forecasts and their uses," International Journal of Forecasting, Elsevier, vol. 8(3), pages 385-391, November.
  2. Samwick, Andrew A., 1998. "New evidence on pensions, social security, and the timing of retirement," Journal of Public Economics, Elsevier, vol. 70(2), pages 207-236, November.
  3. Lee, Ronald & Tuljapurkar, Shripad, 1998. "Uncertain Demographic Futures and Social Security Finances," American Economic Review, American Economic Association, vol. 88(2), pages 237-41, May.
  4. Ronald Lee & Shripad Tuljapurkar, 1998. "Stochastic Forecasts for Social Security," NBER Chapters, in: Frontiers in the Economics of Aging, pages 393-428 National Bureau of Economic Research, Inc.
  5. Ronald Lee & Shripad Tuljapurkar, 1997. "Death and Taxes: Longer life, consumption, and social security," Demography, Springer, vol. 34(1), pages 67-81, February.
  6. Shripad Tuljapurkar & Carl Boe, . "Mortality Change and Forecasting: How Much and How Little Do We Know?," Pension Research Council Working Papers 98-2, Wharton School Pension Research Council, University of Pennsylvania.
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Cited by:
  1. Mastrobuoni, Giovanni, 2009. "Labor supply effects of the recent social security benefit cuts: Empirical estimates using cohort discontinuities," Journal of Public Economics, Elsevier, vol. 93(11-12), pages 1224-1233, December.
  2. Auerbach, Alan J. & Lee, Ronald, 2011. "Welfare and generational equity in sustainable unfunded pension systems," Journal of Public Economics, Elsevier, vol. 95(1), pages 16-27.
  3. Richter, Andreas & Weber, Frederik, 2009. "Mortality-Indexed Annuities," Discussion Papers in Business Administration 10994, University of Munich, Munich School of Management.
  4. Auerbach, Alan J. & Lee, Ronald D, 2007. "Notional Defined Contribution Pension Systems in a Stochastic Context: Design and Stability," Berkeley Olin Program in Law & Economics, Working Paper Series qt37k785qq, Berkeley Olin Program in Law & Economics.
  5. Michael Anderson & Hisashi Yamagata & Shripad Tuljapurkar, 2001. "Stochastic Rates of Return for Social Security Under Various Policy Scenarios," Working Papers wp010, University of Michigan, Michigan Retirement Research Center.
  6. Joel E. Cohen, 2001. "World population in 2050: assessing the projections," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 46.
  7. Kobsak Pootrakool & Anak Serichetpong, 2007. "Safeguarding out Nation's Nest Egg: Necessary Reforms to our Social Security System," Working Papers 2007-05, Economic Research Department, Bank of Thailand.

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