Causal inference
Lectures on Causality: Jonas Peters
https://www.youtube.com/watch?v=bHOGP5o3Vu0
Causal Inference Book
https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ With SAS R code
https://github.com/snowdj/causal_inference_python_code
https://github.com/snowdj/mostly-harmless-replication
Experiment
Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead https://scholar.harvard.edu/kasy/publications/why-experimenters-should-not-randomize-and-what-they-should-do-instead
https://maxkasy.github.io/home/treatmentassignment/
App for optimal treatment assignment in experiments: Interactive App: /treatmentassignment Repository: https://github.com/maxkasy/optimal-treatment-assignment-app
Theoretical background: experimentaldesign.pdf App for estimating publication bias using meta-studies: Interactive App: /metastudy Repository: https://github.com/maxkasy/MetaStudiesApp
Theoretical background: PublicationBias.pdf R-code for optimal taxation and insurance using machine learning: Repository: https://github.com/maxkasy/optimaltaxationusingML https://github.com/snowdj/R-code-for-Adaptive-experimental-design-for-policy-choice-
Useful computational ressources.
Empirical research on economic inequality
http://socviz.co/lookatdata.html
https://link.springer.com/book/10.1007/978-1-4614-7138-7