Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/31573
Authors: 
Tuljapurkar, Shripad
Year of Publication: 
2006
Series/Report no.: 
Working papers // The Levy Economics Institute 471
Abstract: 
This paper describes how stochastic population forecasts are used to inform and analyze policies related to government spending on the elderly, mainly in the context of the industrialized nations. The paper first presents methods for making probabilistic forecasts of demographic rates, mortality, fertility, and immigration, and shows how these are combined to make stochastic forecasts of population number and composition, using forecasts of the U.S. population by way of illustration. Next, the paper discusses how demographic models and economic models can be combined into an integrated projection model of transfer systems such as social security. Finally, the paper shows how these integrated models describe various dimensions of policy-relevant risk, and discusses the nature and implications of risk in evaluating policy alternatives.
Subjects: 
Demography
stochastic population forecast
social security
fiscal policy
probability of solvency
JEL: 
J11
J18
H55
H60
Document Type: 
Working Paper

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