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workshop on Data Methods
workshop on Data Methods
We are pleased to announce Data Methods Workshop for Economists based in Africa, which will be held on 11-12 September, 2025 (Hybrid) at Royal Holloway University of London in the UK.
This 2-day workshop is specifically tailored for researchers based in Africa who would like a refresher course to practice and improve their skills on the latest empirical methods in economics. Our "train-the-trainers" approach aims at fostering knowledge exchange, promoting collaboration, and ensuring long-term impact in the region. The interactive sessions are designed to provide the participants with a hands-on experience working with the newest statistical software and using data relevant for the African context.
Join online via MS Teams using this link at 10am UK time, 11 September 2025.
Workshop Agenda
Workshop Agenda
The training with take place in the hybrid form. If you are joining us online, please use this link to join the workshop via MS Teams at 10am UK time, 11 September 2025.
Day 1 (hybrid)
Day 1 (hybrid)
10:00 – 12:00 Session 1: Causal inference: Main concepts, policy impact evaluation, and introduction to difference-in-differences (DiD) approach
Delivered by Prof Juan Pablo Rud
13:00 – 15:00 Session 2: Applied causal inference methods, including instrumental variables (IV), shift-share, regression discontinuity design (RDD)
Delivered by Dr Pengzhan Qian
15:15 – 16:30 Session 3: Introduction to statistical software R, data analysis and visualization, using applied examples
Delivered by Dr Ahu Gemici
16:30 – 17:00 Questions from the audience
Day 2 (in person)
Day 2 (in person)
Presentations by delegates
Supplementary Materials
Supplementary Materials
Lecture Slides
Lecture Slides
Session 1: Causal inference slides
Session 2: Quasi experimental design (IV, RDD, Shift-share)
Econometric Analysis with R
Econometric Analysis with R
Tutorial: Download and install R/RStudio
Tutorial: Reproducible Workflow with RMarkdown
USEFUL LINKS
USEFUL LINKS
Complete introduction to base R.
Introduction to data analysis using R. Good for comparing to Stata.
An Economist's Guide to Visualizing Data
Guidelines for good visualizations (not R-specific, but very useful).
Introduction to Econometrics with R
Online textbook
Nick Huntington's Econometrics Tips and Resources
A very useful page full of helpful slides, lectures, links to other resources all in R.
Program Evaluation for Public Service (Andrew Young)
Using R, this page combines research design, causal inference, and econometric tools to measure the effects of social programs.
Programming R apps using Shiny
Useful if you want to make your methods easy to use for people not familiar with R, or want to include interactive visualizations in web-pages.
Integrate code and output into typeset documents and slides.
Cheatsheets for numerous packages.
Source Files
Source Files
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