Sorbonne

Master 1

Development Measurement

The aim of this course is to shed critical light on the indicators used to measure development. This course is structured around two central questions:

  1. How the main development indicators are constructed, what information they provide and what their limitations are?

  2. How to address data sources and the complexity of measurement in developing countries?

Econometrics

This course deepens the basics of econometrics, providing students with a solid understanding of the estimation and modelling techniques essential for analysing economic problems related to development. The following topics will be covered:

  1. The classical regression model

  2. Properties of the OLS estimator in large samples

  3. Heteroscedasticity: The problem and correction methods

  4. Non-linear models: Probit and Logit

  5. Count models: Poisson models

Master 2

Climate and Data

To become familiar with climate issues and to understand the construction of sustainable development indicators, this course proposes:

  1. Intensive training in R software

  2. Advanced skills in data collection, processing, and analysis on R (graphical representations, maps, data extractions, web scraping, textual analysis. . . )

  3. A common theme: climate data and sustainable development indicators.

Ressources