Impact Unpacked: Modern Techniques in DiD and RDD for Quantitative Social Scientists

Description:

Impact Unpacked: Modern Techniques in DiD and RDD for Quantitative Social Scientists
Dr Michael Ganslmeier

This 4-hour workshop delves into cutting-edge methods for impact and policy evaluation, focusing on the latest advancements in Difference-in-Differences (DiD) and Regression Discontinuity Design (RDD) techniques. The session begins with an accessible introduction to DiD and RDD, covering core principles and illustrating their application through intuitive examples. Building on this foundation, we explore recent developments in the DiD literature, specifically addressing how to manage heterogeneous treatment effects. The second part of the workshop shifts to RDD, focusing on critical considerations such as functional form selection and optimal bandwidth determination. This segment offers a practical guide to refining RDD models, ensuring that students can confidently implement these designs in their own research.
 

Throughout the workshop, participants will engage with real-world data using R to solidify their understanding of these methods. By the end, attendees will not only have learned the theoretical underpinnings and understood the core challenges required for credible application but also gained practical skills in applying and adapting DiD and RDD techniques to their own research agendas.

Session Details
Time: 10:00 - 15:00 (12:00 - 13:00 Lunch break)
Date: 5 February 2025
Mode: In person only at CON 1.01

Cost:

Free

Website and registration:

Region:

Greater London

Keywords:

Frameworks for Research and Research Designs, Data Collection, Quantitative Data Handling and Data Analysis, ICT and Software, Research Management and Impact

Related publications and presentations from our eprints archive:

Frameworks for Research and Research Designs
Data Collection
Quantitative Data Handling and Data Analysis
ICT and Software
Research Management and Impact

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