This code repository stores Data files and Python code for "On the Forecasting Accuracy of DSGE Solution Methods under Uncertainty."
This paper examines the forecasting accuracy of three different model solution methods: value-function iteration, linearization about the steady state, and the generalized stochastic simulation algorithm (GSSA) of Judd, Mailiar and Maliar (2011). We compare the cost of computing the forecasts and the forecast accuracy across these methods for a three simple models.
- Brock and Mirman Model
- Simple DSGE Model
- Overlapping Generations Model
- Kerk Phillips
- Daryl Larsen
- LokTing Yim
The following copyright license restrictions apply:
Copyright: K. Phillips. Feel free to copy, modify and use at your own risk. However, you are not allowed to sell this software or otherwise impinge on its free distribution.