Around the world, Pay-As-You-Go (PAYGO) public pension programs face serious long-term fiscal problems due primarily to actual and projected population aging, and most appear unsustainable as currently structured. Some have proposed the replacement of such plans with systems of fully funded private or personal Defined Contribution (DC) accounts, but the difficulties of transition to funded systems have limited their implementation. Recently, a new variety of public pension program known as "Notional Defined Contribution" or "Non-financial Defined Contribution" (NDC) has been created, with the objectives of addressing the fiscal instability of traditional plans and mimicking the characteristics of funded DC plans while retaining PAYGO finance. Using different versions of the system recently adopted in Sweden, calibrated to US demographic and economic parameters, we evaluate the success of the NDC approach in achieving fiscal stability in a stochastic context. (In a companion paper, we will consider other aspects of the performance of NDC plans in comparison to traditional PAYGO pensions.) We find that the basic NDC scheme is effective at preventing excessive debt accumulation, but does little to prevent significant asset accumulation along many trajectories and on average. With adjustment, however, the NDC approach can be made more stable.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
12805.
Length: Date of creation: Dec 2006 Date of revision: Publication status: published relationship to a non-chapter. This should not happen. Please contact NBER. Handle: RePEc:nbr:nberwo:12805
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Find related papers by JEL classification: H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends and Forecasts
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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.
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