There are 5 repositories under dsge-models topic.
A Julia rewrite of Dynare: solving, simulating and estimating DSGE models.
A Julia package to solve, simulate, and analyze nonlinear DSGE models.
Course on Dynamic Stochastic General Equilibrium (DSGE): Models, Solution, Estimation (graduate level)
This is a PhD course on financial frictions in macroeconomic models. This repository includes all the materials taught and is constantly updated
Course on Macroeconometrics (graduate level)
Course on Quantitative Macroeconomics (Master/PhD level)
Calibrate, estimate and analyze linearized DSGE models.
A collection of tools for working with DSGE models in python, inspired by the R package gEcon
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
Code and programs by Camilo Marchesini
A selection of my replications of papers in macroeconomics
Methods for solving and estimating linear rational expectation models.
SIMPLE TOOLKIT for COMPUTATIONAL ANALYSIS: An abbreviated translation into Python of Harald Uhlig's "Analyzing Nonlinear Dynamic Stochastic Models Easily." Solved examples and simulations of macroeconomic models.
Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors
Replication files for "The effect of observables, functional specifications, model features and shocks on identification in linearized DSGE models"
Implements the RBC model of Greenwood et al. (1993)
Slides for the Dynare's Summer School
Artigo produzido na discplinada de Macroeconomia 2 no Doutorado de Economia da UERJ em conjunto com a Prof.Dr. Daiane Santos.
Rational expectations solutions under structural change (Hatcher 2022, JEDC)
I am currently working on the small scale New Keynesian models and using DYNARE to solved for different shock responses of the variables in the model.
The folder contains examples and codes developed in the Willy Mutchler lecture's at the Tübingen University . The course deals with estimation of SVAR and DSGE models
This is the code for my final examination in the "Numerical Methods for Economists" course. I solved a Real Business Cycle model using both manual and automatic approaches.
Here are the codes for my problem sets in the "Numerical Methods for Economists" course.
Estimated Bayesian Small Open Economics DSGE model with Stochastic Volatility in Structural Shock Processes
Optimal solution computation 💹 for macroeconomic models 🤑 with dynamic programming in python 🐍
Comments on "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound" by Valerio Scalone (June 2017)