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1
Installing R and R Studio
2
R Studio Orientation
3
R Data Import
4
Basic Data Analysis in RStudio
5
Summary Stats in R using Tidyverse
6
Regression in R(Studio)
7
ARIMA estimation in R
8
Time Series Plots in R
9
Garch Modelling in R
10
Diff-in-Diff in R, the Minimum Legal Drinking Age (MLDA) example
Description:
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.

ECLR-R for Econometrics

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