30464 - EMPIRICAL RESEARCH METHODS AND DATA ANALYSIS
Course taught in English
Go to class group/s: 13
Class-group lessons delivered on campus
The course is built on prior knowledge of econometric methods, statistics and economic modelling.
The course aims at introducing students to empirical research methods and data analysis. The course brings two sets of skills, practical skills to analyze data but also an introduction to how research is being done and evaluated. The first part of the course reviews common econometric methods and introduce students to a widely used statistical software (Stata) through examples and case studies. The second part of the course lets the students elaborate their own research idea and guide them through its implementation and final presentation in class.
- Overview of common econometric methods such as ordinary least squares, difference-in-difference and regression discontinuity.
- Implementation of those methods using Stata, a statistical software.
- Work on group specific projects to develop a research question, derive a related empirical model and statistical analysis of data.
- Capacity to define a relevant research question.
- Capacity to derive a relevant econometric model and tools.
- Capacity to apply those tools to economic data.
- Capacity to interpret the results and express a critical view on them.
- Formulate a relevant research question.
- Devise a strategy to investigate this question with data.
- Understand the difference between different econometric methods.
- Apply the relevant method to answer a particular question.
- Master common econometric and data handling commands.
- Present the research output in a clear way that can be discussed by peers.
- Offer critical views on research produced by others.
- Face-to-face lectures
- Online lectures
- Exercises (exercises, database, software etc.)
- Group assignments
- Interactive class activities (role playing, business game, simulation, online forum, instant polls)
- Online lectures to gain deeper knowledge of the statistical software.
- Exercises to gain deeper knowledge of the statistical software.
- Group assignments to work on a research project (definition, statistical analysis and report).
- Interactive class activities to discuss and offer critical views on other groups work.
|Continuous assessment||Partial exams||General exam|
- Online assessment with closed answers on specific parts of the course.
- Group assignment to formulate a research question and to do statistical analysis.
- Peer evaluation on the results produced by each group.
- Written online exam on all parts covered in the course.
ANGRIST, PISCHKE, Mostly Harmless Econometrics: An Empiricist's Companion, 2009. 1st Edition.
Online video tutorials on Stata (many are available on YouTube).
Empirical research articles to be communicated this summer.