Tutorials
The tutorials for this course are not kept on this website. They live on Method and Inquiry (Gräbner-Radkowitsch 2026g), an open collection of methodological resources. Everything you need for the empirical side of Development Economics is there, and it is maintained in one place rather than duplicated per course.
What is relevant for this course
Measuring development
The learning track Measuring Development (Gräbner-Radkowitsch 2026e) is the key complement to Session 2. It is a sequence, not a catalogue, and is best read in order:
| # | Resource | What it is for |
|---|---|---|
| 2.1 | The Theory-Ladenness of Observation (Gräbner-Radkowitsch 2026h) | Why no indicator is neutral — the conceptual basis of the session |
| 2.2 | Accessing Development Data in R (Gräbner-Radkowitsch 2026a) | Getting the data yourself; only needed if you work in R |
| 2.3 | Income, Output, and Complexity Indicators (Gräbner-Radkowitsch 2026c) | GDP, GNI and the Economic Complexity Index |
| 2.4 | Measuring Inequality and Poverty (Gräbner-Radkowitsch 2026f) | Lorenz curves, Gini, poverty lines |
| 2.5 | Human Development and Social Indicators (Gräbner-Radkowitsch 2026b) | The HDI, its components, GDI and GII |
The reading expected of you for Session 2, and when, is set out on the session page itself.
Measuring institutions
A post on measuring institutions with the Worldwide Governance Indicators complements Session 6. It is being added to the Measuring Development track and will be linked here once it is online.
Statistics and R
- The learning track Statistics Recap (Gräbner-Radkowitsch 2026d), if you want to refresh undergraduate statistics
- Method and Inquiry also collects a fair number of resources on learning and using R, which is genuinely helpful when working with development data — but nothing in this course requires it
Feedback
Method and Inquiry is a living resource, and feedback on it is very welcome — whether something is unclear, wrong, or missing. Please use the Moodle forum.