Espaces pédagogiques interactifs

The course will be divided into two blocks : (1) Presentation of new data, methods and software applied to development economics, (2) collective projects.

Section 1 : Presentation of new data, methods and softwares applied to Development Economics

Chapter 1 (6 hours): New data applied to development economics

Presentation of new data in Development (satellites, nightlights, mobile phone, social media,  geo-climatic data) and their use in the Development Economics literature

Chapter 2 (6 hours): Field data collection and management

How to collect data on the field:  the project submission, the ethical approval (IRB), survey design and sampling, survey coding, data processing, data reporting

Chapter 3 (6 hours): GIS data, QGIS and application in Development

Presentation of GIS data, introduction to QGIS, conception of maps and coding

Chapter 4 (6 hours): PYTHON, Data Management and Web Scraping

Introduction to Python, Data Management and analysis with Python, Web scraping with Python

Section 2 : Collective projects

Students will be divided into 3 groups to conduct a small project on a specific topic in development related to the methods presented in the first section.

Group 1 : Conception of a survey (using GeoDK), data collection and data processing using R / Stata

Group 2:  Conception of maps using Qgis, coding and data processing using R / Stata

Group 3 : Small project on Python / R  (Data management, web scraping)

Each group will be supervised by a teacher who will assist students in their project. A final workshop will be organized to present the final output.

6 hours (TD) for each group.

Informations sur l'espace de cours

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