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A First Course in Causal Inference

Authors :
Ding, Peng
Publication Year :
2023

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.<br />Comment: 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

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2305.18793
Document Type :
Working Paper