Master 1 - 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:
The classical regression model
Properties of the OLS estimator in large samples
Heteroscedasticity: The problem and correction methods
Non-linear models: Probit and Logit
Count models: Poisson models
To become familiar with climate issues and to understand the construction of sustainable development indicators, this course proposes:
Intensive training in R software
Advanced skills in data collection, processing, and analysis on R (graphical representations, maps, data extractions, web scraping, textual analysis. . . )
A common theme: climate data and sustainable development indicators.