A. Colin Cameron: Introduction to Causal Methods

These slides prepared March 2023 provide brief examples of various microeconometrics methods used for causal analysis.

The slides are intended to demonstrate to undergraduate students the various possible methods, especially for those writing a term paper or undergraduate thesis. If you actually use one of these methods you need to do additional reading to understand the assumptions and limitations of the method.

If you have reason to cite this work, cite as
A. Colin Cameron, Introduction to Causal Methods, https://cameron.econ.ucdavis.edu/causal/

A very brief overview of causal methods
   Slides

Randomized control trials
   Slides     Stata program     Stata dataset     Stata output

Instrumental variables
    Slides     Stata program     Stata dataset     Stata output

Directed Acyclic Graphs
   Slides

Panel data and fixed effects
   Slides     Stata program     Stata dataset     Stata output

Differences in differences
   Slides     Stata program     Stata dataset     Stata output

Regression Discontinuity Design
    Slides     Stata program     Stata dataset     Stata output

Synthetic control
   Slides     Stata program     Stata dataset     Stata output
  
Treatment evaluation:
Potential outcomes, regression adjustment, inverse-probability weighting, matching
   Slides     Stata program     Stata dataset     Stata output
  
Some references
  See the end of these slides

Machine learning methods - a very brief overview
   Slides   

A. Colin Cameron / UC-Davis Economics / http://cameron.econ.ucdavis.edu/