## Recently Published ##### R Tutorial: Linear Regression 4
This document contains hands-on examples on further modifying the functional form of the linear regression model. Polynomials, step functions, regression splines and inverse functions are applied. ##### R Tutorial: Linear Regression 1
This document contains hands-on examples to get familiar with the linear regression model. The first section deals with some theory underlying OLS and the second section applies simple and multiple linear regression models to the mtcars dataset. ##### R Tutorial: Regression Discontinuity Design (RDD)
This document contains a tutorial to understand the regression discontinuity design. The RDD approach is illustrated by replicating a results from a study by Carpenter and Dobkin (2009) with RStudio. ##### R Tutorial: Difference-in-Differences (DiD)
This document contains a tutorial to understand the difference-in-differences approach. The DiD approach is illustrated by replicating a famous study by Card and Krueger (1994) with RStudio. ##### R Tutorial: Linear Regression 2
This document contains hands-on examples on modifying the functional form of the linear regression model. I consider the manipulation of the (in)dependent variable, the specification of variables of nominal and ordinal scale as well as interactions. ##### R Tutorial: Descriptive Statistics 1
This document contains hands-on examples of how to approach a (unknown) dataset. It is split into three sections covering frequency and contingency tables as well as their convenient visualization techniques. Furthermore, summary statistics and their corresponding visualizations are covered as well.