Title :
Stochastic inverse problems for growth models
Author_Institution :
CEREMADE, Paris-IX Dauphine Univ., Paris, France
Abstract :
Modern macroeconomics is built on the foundation of nonlinear dynamic stochastic general equilibrium (DSGE) models. In particular, the stochastic growth model is one of the most widely used models in all economics, and is the standard model for business cycle analysis. After reviewing some classical results on the existence of optimal solutions to stochastic calculus of variational problems in finite and infinite horizon, we show the connexions between those kind of problems and some classical stochastic optimal capital growth. Finally, we find some first results on the indeterminacy of capital accumulation path with uncertainty, which generalize the ones obtained by Boldrin and Montrucchio.
Keywords :
macroeconomics; stochastic programming; variational techniques; business cycle analysis; dynamic stochastic general equilibrium models; finite horizon; infinite horizon; macroeconomics; stochastic inverse problems; stochastic optimal capital growth; stochastic variational calculus; Calculus; Cybernetics; Economic forecasting; Infinite horizon; Inverse problems; Macroeconomics; Stochastic processes; Stochastic systems; USA Councils; Uncertainty; HJB Equation; Inverse Problems; Stochastic Calculus of Variations; Stochastic Growth Model;
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
DOI :
10.1109/ICSMC.2009.5346297