DSGE Oil Model in Stata

DSGE Oil Model in Stata | Advanced Tutorial for Members Only

Welcome to an exclusive tutorial for members! In this video, we dive into the advanced modifications needed to incorporate oil into the simple RBC model using Stata. This is a continuation of our previous video where we tackled the mathematical foundations and dynamic equations. Now, you'll learn how to apply those concepts in Stata.

🔧 What you will learn:
How to modify the production function to include oil as an input.
Setting up an exogenous oil supply with an AR1 process.
Incorporating oil prices and productivity shocks in the model.
Making necessary adjustments to constraints, observed variables, and impulse response functions.
Analyzing the effects of demand and supply shocks on oil prices.
Out-of-sample forecasting for GDP and oil prices.

💡 Resources:
Download the dataset used in this tutorial:
https://jdeconomicstore.com/b/rbc-mod...

-Watch the video where I explain the math step by step for this model:
   • Add oil to Dynamic Stochastic General Equi...  

Get the do-file with a 30% discount by emailing me at [email protected] (Exclusive for members).

Thank you for being a member and supporting this channel! Your support helps me continue creating specialized content. Don't forget to send your suggestions for future tutorials. Enjoy the video, and let's keep learning together!

www.jdeconomicstore.com


⚠️ Disclaimer: The model presented in this video builds on the standard RBC framework and was originally developed for teaching purposes by Dr. Stephen Snudden, Assistant Professor of Economics at Wilfrid Laurier University (Canada). The implementation and presentation in this video are my own and intended for educational use only.

You can find Dr. Stephen Snudden’s professional profile here: https://stephensnudden.com/