- Causal Inference: The Mixtape (Scott Cunningham, 2021)
- The Effect: An Introduction to Research Design and Causality (Nick Huntington-Klein, 2022)
- Causal Inference: What If (Miguel Hernan, Jamie Robins, 2020)
- Mostly Harmess Econometrics (Joshua D. Angrist, Jörn-Steffen Pischke)
- Mastering ‘Metrics (Joshua D. Angrist, Jörn-Steffen Pischke)
- Causal Inference for The Brave and True (Matheus Facure)
- Statistical Tools for Causal Inference (Sylvain Chabé-Ferret, 2022)
- Introduction to Causal Inference (Brady Neal, 2020)
- Counterfactuals and Causal Inference. Methods and Principles for Social Research (Stephen L. Morgan, Christopher Winship, 2007)
- The Theory and Practice of Field Experiments: An Introduction from the EGAP Learning Days
- Using R for introductory econometrics (Heiss, 2016)
- Causality (Judea Pearl, 2009)
- Causal inference in statistics (Judea Pearl, Madelyn Glymour, Nicholas P. Jewell, 2016)
- The book of why: the new science of cause and effect (Judea Pearl, Dana Mackenzie, 2018)
- A Guide on Data Analysis
- Marketing Research
- Introduction to Causal Inference from a Machine Learning Perspective (Brady Neal, 2020)
- Research Design in the Social Sciences (Declaration, Diagnosis, Redesign)