Mike Jonas Econometrics
I teach econometrics at the University of San Francisco, and I wanted a place for my students, and anyone else, to find straightforward tutorials and examples of how to use Stata and R-studio effectively to execute data analyses.
You will find topics that range from a first introduction to the software, to advanced techniques covered at the graduate level.
Additional videos will be added on a weekly basis (on average), and luckily there is no shortage of possible topics.
On twitter @MichaelRJonas
RStudio Tutorial: First Difference Regression
ECON Intro Econometrics Brief Review
Finance Data in R Using getSymbols
Causal Inference: A Simple Difference-in-Difference Model
Econometrics Lecture: Autocorrelation Part 1
Residual and Prediction Plots In Python
How to Filter Data in R
Как запустить регрессию в Python
How to Download World Bank Data in R-Studio
How to Make Maps in Stata
Первый взгляд на использование Python для эконометрики
Тест структурного разрыва Чоу в Stata
Stata Time Series Tutorial: The Rolling Regression
Estimating a GARCH model in Stata
Intro Econometrics Lecture: Slope Dummy and Interaction Terms
Stata Tutorial: Out of Sample Forecasts
Econometrics Lecture: Derivation of the OLS Coefficient Variance
Time Series Econometrics: The CORRGRAM command in Stata
Using PUTEXCEL to export Stata output to MS Excel
Econometrics Lecture: OLS Unbiased Proof
Econometrics Lecture: The Classical Assumptions
Базовые временные ряды в Stata: модели с конечными распределенными задержками
OLS Regression "By Hand" in Excel: Part 3
Geometric (Infinite) Distributed Lag Model in Stata
Roadmap to Learning Econometrics, Part 2
Financial Econometrics Lecture 1, Part 2
Лекция по финансовой эконометрике 1, часть 1
Вводная лекция по эконометрике: Дорожная карта изучения эконометрики, часть 1
Building a Regression "By Hand" in Excel Part 2
Building an OLS Regression "By Hand" in Excel: Part 1