Shorish, Jamsheed (Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria and Department of Economics, University of Illinois at Urbana-Champaign)
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We introduce a continuous time overlapping generations demographic model, in which a social planner seeks to generate an optimal policy for influencing the demographic change of the underlying population in a neoclassical growth model. The model has the notable feature that the underlying state space is a continuum, leading to a Hamilton-Jacobi-Bellman PDE system which is defined over a Hilbert space generated by the ages of the population cohorts. In this technical report the dynamic programming problem is presented and the numerical approximation using a finite difference approximation is derived. This analysis is part of a larger research program on welfare analysis and policy development for the HIV/AIDS global pandemic.
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Paper provided by Institute for Advanced Studies in its series Economics Series with number
211.
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