Scottish Graduate Programme in Economics

SGPE PhD Summer School 2024 - Casual Inference, Unconfoundedness, Regression Discontinuity Designs, and Instrumental Variables

The Summer School provides an opportunity to discuss four methods: casual inference, unconfoundedness methods, regression discontinuity designs, and instrumental variables. Our goal is to take participants to a place of competency, comprehension and confidence.

Dates

Monday 1 July – Thursday 4 July 2024

 

Instructor

Professor Scott Cunningham

Ben H.Williams Professor of Economics

Baylor University

 

Host              

University of Stirling

 

Audience

This Summer School workshop is open to all interested parties, including university students, staff, and people working in industry. A background in economics or another social science discipline will be beneficial.

 

Description

Causal inference uses comparable groups to identify causal effects, but which causal effects, and how do we achieve comparability? The gold standard, as it is sometimes described, is the randomized controlled trial, very common in medicine, agriculture, and some parts of the social sciences as well (e.g., education, development). But randomized experiments are not always feasible, ethical or practical. Furthermore, the randomized experiment is not the only way to achieve comparability. This week we will cover four other methods: the foundations of casual inference, unconfoundedness methods, regression discontinuity designs, and instrumental variables. Our goal is to take you to a place of competency, comprehension and confidence.

 

Further information, including course fees, accommodation, and a full event schedule, can be found in the Summer School programme:

 

 

Applications for the Summer School can be made via the link below. The deadline for applications is Friday 14th June 2024:

SGPE PhD Summer School 2024 Application Form

 

Please note that accommodation will be allocated on a first-come, first-served basis, so please apply early if you require accommodation.