DSGEFoundry delivers a Dynare-inspired, fully Python workflow for building, solving, and estimating linearized DSGE models. Symbolic definitions turn into state-space systems, solved via Gensys, then pushed through Bayesian inference and IRF analytics with reusable abstractions.
This repository makes available the Python version of Chris Sims gensys algorithm to broader community. The gensys algorithm solves a linear rational expectations model. I show how the algorithm can be used to solve a three equation New Keynesian model and further analyse the model economy.
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