Demystifying Causal Inference: Public Policy Applications with R

by Anand Murugesan and Vikram Dayal

This book provides an accessible introduction to causal inference and data analysis with R, specifically for a public policy audience. It aims to demystify these topics by presenting them through practical policy examples from a range of disciplines. It provides a hands-on approach to working with data in R using the popular tidyverse package. High quality R packages for specific causal inference techniques like ggdag, Matching, rdrobust, dosearch...

• Format: Hardcover
• Language: English
• ISBN: 9819939046
• ISBN13: 9789819939046
• Release Date: October 2023
• Publisher: Springer
• Length: 294 Pages
• Weight: 1.65 lbs.
• Dimensions: 0.9" x 6.1" x 9.3"