Learn how to estimate Dynamic Stochastic General Equilibrium (DSGE) Models

DSGE models are a powerful tool in macroeconomic analysis, allowing us to understand the intricate interactions of economic variables in a dynamic and uncertain environment. At Forecasting Economics, we bring these models to life, guiding you through the process of developing a deep understanding of their structure, assumptions, and implications. 

Stata: Programming Proficiency in DSGE Modeling

In the Stata section of our courses, we focus on developing your programming skills to proficiently code and simulate DSGE models. From mastering basic syntax to implementing advanced programming techniques, our comprehensive tutorials ensure you gain confidence in utilizing Stata as a powerful tool for DSGE modeling.

Matlab Dynare: Simplicity Meets Precision

Explore the efficiency and precision of DSGE modeling with Matlab Dynare. Our step-by-step guides cover the setup, coding, and solution of models, enabling you to harness the full capabilities of Matlab Dynare. Uncover the simplicity that makes DSGE modeling accessible without compromising the depth needed to capture the dynamics of economic systems.

Start Estimating DSGE Models with Confidence

If you're looking to deepen your command of Dynamic Stochastic General Equilibrium (DSGE) modeling, this videos are designed to bridge theory and application with clarity and precision.

We focus on the structural estimation, simulation, and interpretation of DSGE models using Stata and Matlab Dynare. You'll engage directly with:

• Calibration strategies grounded in empirical macroeconomic data

• Bayesian estimation techniques for small- and medium-scale models

• Hands-on programming exercises in Dynare syntax and Stata scripting

• Model diagnostics, stability analysis, and impulse-response interpretation

• Real-world applications to policy analysis and forecasting exercises

Every module is structured to build your technical fluency and economic intuition—step by step, with transparent code and guided feedback.