Trees, Forests and the Classification Problem: Simulations & an Application to Redistribution Preferences
This repository contains all the relevant material for my project in the course "Computational Statistics," taught by assistant professor Lena Janys (PhD) in the summer term of 2022 at the University of Bonn.
The project is about tree-based methods; in particular, classification trees and random forests. After introducing these methods as well as comparing and contrasting them in three simulation studies, an application to an economic topic is presented. The latter is based on Keely & Tan (2008), who explore the classification of income redistribution preferences using US data.
Keely, L. C., & Tan, C. M. (2008). Understanding Preferences for Income Redistribution. Journal of Public Economics, 92(5-6), p. 944-961.
All R codes were run using RStudio 2022.07.1 build 554.