Course teacher(s)
Alejandra Ramos (Coordinator) and Paula GOBBIECTS credits
5
Language(s) of instruction
english
Course content
- 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)
Objectives (and/or specific learning outcomes)
Prerequisites and Corequisites
Required and Corequired knowledge and skills
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.
Teaching methods and learning activities
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.
Course notes
- Syllabus
- Université virtuelle
Contribution to the teaching profile
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
Other information
Campus
Solbosch
Evaluation
Method(s) of evaluation
- Personal work
- written examination
Personal work
written examination
Mark calculation method (including weighting of intermediary marks)
- 30% In-class group presentations
- 20% In-class individual participation
- 40% Group replication exercise
- 10% Individual coding exercise
Language(s) of evaluation
- english