Abstract
Backsolving is a class of methods that generate simulated values for exogenous forcing processes in a stochastic equilibrium model from specified assumed distributions for Euler-equation disturbances. It can be thought of as a way to force the approximation error generated by inexact choice of decision rule or boundary condition into distortions of the distribution of the exogenous shocks in the simulations rather than into violations of the Euler equations as with standard approaches. Here it is applied to a one-sector neoclassical growth model with decision rule generated from a linear-quadratic approximation.
Original language | English (US) |
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Pages (from-to) | 45-47 |
Number of pages | 3 |
Journal | Journal of Business and Economic Statistics |
Volume | 8 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1990 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Social Sciences (miscellaneous)
- Economics and Econometrics
- Statistics, Probability and Uncertainty
Keywords
- Approximation
- Dynamic programming
- Euler equation
- Optimization