Stochastic Infinite Horizon Forecasts for US Social Security Finances

Ronald Lee and Michael Anderson
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Michael Anderson: Centre for the Economics and Demography of Aging, University of California at Berkeley, 2232 Piedmont Avenue, Berkeley, CA 94720-2120, mikeand1@comcast.net

National Institute Economic Review, 2005, vol. 194, issue 1, 82-93

Abstract: Even over a 75-year horizon, forecasts of PAYGO pension finances are misleadingly optimistic. Infinite horizon forecasts are necessary, but are they possible? We build on earlier stochastic forecasts of the US Social Security trust fund which model key demographic and economic variables as historical time series, and use the fitted models to generate Monte Carlo simulations of future fund performance. Using a 500-year stochastic projection, effectively infinite with discounting, we find a fund balance of -5.15 per cent of payroll, compared to the -3.5 per cent of the 2004 Trustees' Report, probably reflecting different mortality projections. Our 95 per cent probability bounds are -10.5 and -1.3 per cent. Such forecasts, which reflect only ‘routine’ uncertainty, have many problems but nonetheless seem worthwhile.

Keywords: Social security; sustainable; infinite horizon; stochastic; forecast (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (5)

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Journal Article: Stochastic Infinite Horizon Forecasts for US Social Security Finances (2005)
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Persistent link: https://EconPapers.repec.org/RePEc:sae:niesru:v:194:y:2005:i:1:p:82-93

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