Learn essential econometric techniques using R and RStudio in this comprehensive tutorial. Begin with installation and orientation of R and RStudio, then progress through data import, basic analysis, and summary statistics using Tidyverse. Master regression analysis, ARIMA estimation, time series plotting, and GARCH modeling. Conclude by exploring difference-in-differences analysis with a practical example on Minimum Legal Drinking Age (MLDA). Gain hands-on experience in applying econometric methods to real-world data using R's powerful tools and libraries.
Overview
Syllabus
Installing R and R Studio.
R Studio Orientation.
R Data Import.
Basic Data Analysis in RStudio.
Summary Stats in R using Tidyverse.
Regression in R(Studio).
ARIMA estimation in R.
Time Series Plots in R.
Garch Modelling in R.
Diff-in-Diff in R, the Minimum Legal Drinking Age (MLDA) example.
Taught by
ralf becker
