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.
📊 Provide a Python toolkit for DSGE modeling with tools for linearization, estimation, simulation, filtering, and policy analysis.
A first and second-order DSGE engine with a fully symbolic and modifiable model backend. Includes estimation, monte carlo pipeline costruction, and regression-based equation augmentation capabilities
A Python toolkit for DSGE modeling: parse model files, solve linear and nonlinear systems, run simulation and estimation workflows, and perform policy/welfare analysis.
Artigo produzido na discplinada de Macroeconomia 2 no Doutorado de Economia da UERJ em conjunto com a Prof.Dr. Daiane Santos.
Companion code repository for the textbook Macroeconometrics by Alessia Paccagnini, with Python, R, MATLAB and Dynare examples
Natural language interface for building and playing with DSGE models
Perturbation-based solution of DSGE models up to third order, with Dynare-validated decision rules
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