Short Course: Econometrics for Policy Evaluations/Econometrics for Causal Inference

Course Outline

This short course will cover the foundations of policy-evaluation empirical analysis and causal inference using the two major frameworks of graphical modelling and potential outcomes for treatment effect computation. Starting with a low-technical background at the level of an introductory econometrics course, it will bring course attendees to some of the latest developments in the area of policy evaluations.

The course will run for 2 to 3 days between Monday 29 September and Friday 3 October. Exact dates are to be confirmed.

Important Dates

A registration link will be made available on this website on Monday 28 July 2025.

Who should attend?

 This course is ideal for students and professionals who would like an up-to-date and practical introduction to this very important area of empirical data analysis. The course is also ideal for students and professionals who wish to learn about some of the latest developments in policy evaluations such as heterogeneous treatment effects in difference-in-difference methodologies or the identification of treatment effects through causal graphs.

What you'll learn

• Causal Inference and Policy Evaluation foundational concepts: DAGs and Potential Outcome Framework.
• Difference-in-Difference methodologies and event studies along with recent advances in heterogenous treatment effects.
• Incorporating “Big Data” into policy evaluations.
• Uncertainty assessment.

Instructor: Dr Mohamad Khaled

Entry requirements: There are no entry requirements for this course.

Assessment: NA

Certification and accreditation: NA

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Photography

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