Abstract
The note investigates the numerical properties of the method proposed by Chow (1993) to solve stochastic dynamic optimization problems. The results are compared to the standard method of linear quadratic approximation. The properties of these approximation schemes under heteroskedastic noise are examined.
Original language | English (US) |
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Pages (from-to) | 723-737 |
Number of pages | 15 |
Journal | Journal of Economic Dynamics and Control |
Volume | 21 |
Issue number | 4-5 |
DOIs | |
State | Published - May 1997 |
Keywords
- Dynamic programming
- Growth model
- Linear quadratic approximations
ASJC Scopus subject areas
- Economics and Econometrics
- Control and Optimization
- Applied Mathematics