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Parameterized Expectations Algorithm: How to Solve for Labor Easily
- Source :
- Computational Economics. 25:269-274
- Publication Year :
- 2005
- Publisher :
- Springer Science and Business Media LLC, 2005.
-
Abstract
- Euler-equation methods for solving nonlinear dynamic models involve parameterizing some policy functions. We argue that in the typical macroeconomic model with valuable leisure, labor function is particularly convenient for parameterizing. This is because under the labor-function parameterization, the intratemporal first-order condition admits a closed-form solution, while under other parameterizations, there should be a numerical solution. In the context of a simulation-based parameterized expectations algorithm, we find that using the labor-function parameterization instead of the standard consumption-function parameterization reduces computational time by more than a factor of ten.
- Subjects :
- Mathematical optimization
jel:C63
Economics, Econometrics and Finance (miscellaneous)
Monte Carlo method
Parameterized complexity
jel:C68
Context (language use)
Function (mathematics)
Computer Science Applications
Nonlinear system
Macroeconomic model
Nonlinear models, Parameterized expectations, PEA, Monte Carlo simulation, Numerical solution
Dynamic models
jel:C6
Algorithm
Mathematics
Subjects
Details
- ISSN :
- 15729974 and 09277099
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Computational Economics
- Accession number :
- edsair.doi.dedup.....37c801c99c203c6c5f0abcef890f0e2d
- Full Text :
- https://doi.org/10.1007/s10614-005-2224-9