Optimal control with heterogeneous agents in continuous time
AbstractThis paper introduces the problem of a planner who wants to control a population of heterogeneous agents subject to idiosyncratic shocks. The agents differ in their initial states and in the realization of the shocks. In continuous time, the distribution of states across agents is described by a Kolmogorov forward equation. The planner chooses the controls in order to maximize an optimality criterion subject to an .aggregate resource constraint. We demonstrate how the solution should satisfy a system of partial differential equations that includes a generalization of the Hamilton-Jacobi-Bellman equation and the Kolmogorov forward equation. JEL Classification: C6, D3, D5, E2
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Date of creation: Nov 2013
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Find related papers by JEL classification:
- C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
- D3 - Microeconomics - - Distribution
- D5 - Microeconomics - - General Equilibrium and Disequilibrium
- E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-11-16 (All new papers)
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