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Graduate econometrics II
Titulaire(s) du cours
Alejandra Ramos (Coordonnateur) et Paula GOBBICrédits ECTS
5
Langue(s) d'enseignement
anglais
Contenu du cours
- Introduction (OLS, Limitations of OLS)
- Causal inference
- Discrete Choice Modelling
- Randomized Control Trial (RCT)
- Regression discontinuity designs (RDD)
- Difference-in-Difference (DiD)
- Instrumental Variables (IV)
Objectifs (et/ou acquis d'apprentissages spécifiques)
The course should serve graduate students to reinforce their empirical skills, which will then be used in an empirical project and their thesis.
Pré-requis et Co-requis
Connaissances et compétences pré-requises ou co-requises
This class will discuss advanced empirical methods and the practical problems that researchers face when doing empirical research. The focus will be put on analyzing identification strategies that have been used in the empirical literature. We will cover empirical methodologies that are mostly used in micro-econometric analysis and structural papers.
Méthodes d'enseignement et activités d'apprentissages
The course consists of 24 hours of lectures and additional hours of exercises. The exercises will be in Stata and R, focusing on reproducing empirical and structural seminal papers.
Références, bibliographie et lectures recommandées
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Support(s) de cours
- Syllabus
- Université virtuelle
Contribution au profil d'enseignement
This course contributes to the following program learning objectives:
LO 1.2 - Assess the quality of an economic research produced by others
LO 1.3 - Identify and analyse an issue using the relevant analytical tools and methods
LO 2.1 - Adopt a scientific approach to data collection, research and analysis and communicate results with clear, structured and sophisticated arguments
LO 2.2 - Display critical thinking and develop autonomous learning strategies and techniques
LO 3.2 - Thorough and critical ability to use empirical and statistical tools in economics
LO 4.1 - Work and communicate effectively as part of a team in an international and multicultural environment
Autres renseignements
Contacts
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Campus
Solbosch
Evaluation
Méthode(s) d'évaluation
- Travail personnel
- Examen écrit
Travail personnel
Examen écrit
Construction de la note (en ce compris, la pondération des notes partielles)
- 30% In-class group presentations
- 20% In-class individual participation
- 40% Group replication exercise
- 10% Individual coding exercise
Langue(s) d'évaluation
- anglais