DocumentCode
2571541
Title
Stochastic inverse problems for growth models
Author
Basta, Hycham
Author_Institution
CEREMADE, Paris-IX Dauphine Univ., Paris, France
fYear
2009
fDate
11-14 Oct. 2009
Firstpage
1458
Lastpage
1463
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1062-922X
Print_ISBN
978-1-4244-2793-2
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2009.5346297
Filename
5346297
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