Treatment Effects: The Basics

This course will introduce you to the basics of causal inference using observational data, including real-world applications in the R programming language. Topics will include selection on observables, bad controls, directed acyclic graphs (DAGs), instrumental variables, local average treatment effects, regression discontinuity, and difference-in-difference methods. At the end of this course you'll have a good foundation for further study of causal inference, including our summer course offering 'Treatment Effects: Beyond the Basics'. 


  • Probability review, R review
  • Selection-on-observables, DAGs and Bad Controls
  • Regression Discontinuity
  • Instrumental Variables and Local Average Treatment Effects
  • Difference-in-Differences

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Course delivery

The course can be attended either in person at Lady Margaret Hall or remotely via Zoom. 


  • Professionals: £1,815

  • Students and Academics: £1,150

  • Online: £1,045

Please note we can only accept payment for the summer school via MasterCard, Visa credit card, Maestro or Visa debit card. As part of your application, you are required to pay a £50 application deposit, which will be deducted from the course payment in case of a successful application.

Who can attend:

This course is a foundation course aimed at graduate students in Economics and those in industry or policy with an economics degree.




The course fees do not include accommodation, however, please contact for help and assistance. We are able to help you book hotel accommodation, college accommodation and homestays. Please get in touch if you have any questions!