Welcome to JDEConomics website, a site dedicated to Applied Econometrics, Time Series Analysis, and Forecasting. My platform aims to equip individuals with the necessary skills and knowledge to use diverse statistical softwares, such as Stata, EViews, and Matlab, to analyze and forecast real-world economic data. The best part? It's free.

My tutorials are designed to provide users with step-by-step instructions on how to use these software programs to apply modern-day time series models, including ARIMA, VAR, GARCH and DSGE models to real-world data. Through these tutorials, you will gain a solid understanding of the underlying concepts and theory behind these models, as well as practical experience in applying them to economic data.

In addition to my tutorials on statistical software, I also provide tutorials on LaTeX with Overleaf, which will help you write your research papers and assignments in a professional format. This will ensure that your work is presented in a clear and concise manner, which is essential for academic success.

My website is a valuable resource for anyone interested in Applied Econometrics, Time Series Analysis, and Forecasting, whether you are a student, researcher, or professional. I am committed to providing high-quality tutorials, resources, and support to help you achieve your academic and professional goals.

Thank you for visiting my website, and I hope that my tutorials and resources will be useful to you.

Would you like to learn how to incorporate habit formation into the household's maximization problem? If so, you will definitely want to join my upcoming webinar! Habit formation is a prevalent feature in DSGE models. The baseline models assume that households make consumption decisions solely based on the present, but in reality, we don't behave like that. Typically, after a shock, families will consume what they typically consumed in the past (t-1). The response of consumption to a positive shock in the economy should be sluggish at the outset and then gradually increase after some time.