A First Course in Causal Inference
Methodology
2023-10-04 v2 Applications
Abstract
I developed the lecture notes based on my ``Causal Inference'' course at the University of California Berkeley over the past seven years. Since half of the students were undergraduates, my lecture notes only required basic knowledge of probability theory, statistical inference, and linear and logistic regressions.
Cite
@article{arxiv.2305.18793,
title = {A First Course in Causal Inference},
author = {Peng Ding},
journal= {arXiv preprint arXiv:2305.18793},
year = {2023}
}
Comments
1. Posted the companion R code and datasets on Harvard Dataverse https://doi.org/10.7910/DVN/ZX3VEV; 2. Corrected for many typos; 3. Added the Preface and many new homework problems