This course teaches how to install R and R Studio, import data, perform basic data analysis, calculate summary statistics using Tidyverse, conduct regression analysis, estimate ARIMA models, create time series plots, model GARCH, and implement Diff-in-Diff analysis using the Minimum Legal Drinking Age (MLDA) example. The course aims to develop skills in R programming for econometrics through practical applications and hands-on exercises. The intended audience for this course includes students and professionals interested in econometrics, data analysis, and statistical modeling.
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
