Explore Panel Data for Policy and Performance AnalysisPanel data enables economists and analysts to control for individual-level variation over time. This course walks you through pooled OLS, difference-in-difference, fixed effects, and random effects models — essential for analysing impact, behaviour, and policy.
Location:Cloud Spaces ADGM(May be delivered via Teams if ADGM location is unavailable)
This event offers you:📊 A guided approach to panel data structure, assumptions, and econometric methods🧑🏫 Interactive sessions with applied examples and interpretation tips🤝 Networking opportunities with peers interested in advanced analytics
Don’t miss this opportunity to:💡 Understand how to model repeated observations with richer context📈 Learn when to use fixed effects vs. random effects vs. first differences🧠 Analyse real-world problems using panel data regressions and design strategies
Learn about topics such as:
- What makes data “panel” and when to use it
- Difference-in-Difference models for causal inference
- Fixed effects and the transformation method
- Time-fixed effects and dummy variable regressions
- Random effects and choosing the right model for your data
This event is for:
- Economists and analysts working with firm, household, or country-level data
- Policy researchers exploring the effects of reform or shocks
- Students and professionals aiming to improve causal analysis skills
- Advisors and consultants conducting performance evaluations
Register today! Limited seats for deep discussion and tailored feedback.
