Date/Time
Date(s) - 23/07/2026 - 24/07/2026 1:00 pm - 4:30 pm
Audience:
NARTI Online Training & Development
Advanced Micro-Econometrics for Policy Evaluation
Difference-in-Differences Analysis & Propensity Score-Based Treatment Effects Estimation
With Professor Sourafel Girma
23rd and 24th July (13.00-16.30 both days, UK time)
Online via Zoom
Summary
Grounded in the potential outcomes framework, this workshop offers a deep dive into two central policy evaluation techniques: propensity-score methods for treatment effect estimation, and difference-in-differences (DiD), including recent advances such as staggered DiD. Participants will be introduced to the conceptual foundations of causal inference before moving through propensity-score matching, inverse probability weighting, and doubly robust estimators, then on to the parallel trends assumption, event-study designs, and modern heterogeneity-robust estimators for staggered treatment timing. Throughout, the workshop strikes a careful balance between technical rigour, intuition, and practical implementation, with all methods demonstrated and implemented in Stata.
Ideally, participants would have access to Stata during the workshop, but this is not a requirement. Professor Girma will provide the data and the code so that they can continue practising at your own pace after the workshop.
Bio
Sourafel Girma is a Professor of Industrial Economics at the University of Nottingham with over 30 years of experience in applied econometrics, international economics and, more recently, machine learning methods for economic and policy analysis. He combines a strong academic publication record with extensive experience training policymakers and advising government and international bodies on quantitative methods. He is ranked among the global top 5% of authors (across 31 indices, including the h-index and citation counts weighted by impact factor) according to IDEAS/RePEc, the largest bibliographic database in Economics, and among the world’s top 2% of scientists based on standardised citation metrics (Elsevier Data Repository).
If you would like to join this workshop and can commit to attending both dates, please register using the link at the top of the page.