Course 2023-2024 a.y.

• 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. 
• Write a research paper that holds up to the scrutiny of peers. Present the results in a scientific conference style way.

• 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 on campus/online (role playing, business game, simulation, online forum, instant polls)

• Online lectures to gain deeper knowledge of the statistical software and econometric methods.
• 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.

The final grade will be a weighted sum of different assessments.

• Students will take a written exam at the end of the course, that accounts for 40% of the grade with both open-ended and closed-ended questions. It will cover all parts of the course and require substantiated answers related to econometric techniques, research and data analysis. It will test the ability to use and interpret research methods with a critical view.  

• Group assignment to formulate a research question and to do statistical analysis. The students will be required to hand in a research paper of approx 15 pages that contains an original research question, an argued methodological section that describes the way the research question can be addressed, as well as a result section that provides a test of the research question. This paper is then presented oraly to the class in a conference style presentation to evaluate their ability to present and communicate research results. The paper corresponds to 30% of the final grade and the oral presentation to 30%.

• Throughout the class, students will be required to take on-line tests and hand in exercises and peer-reviews to evaluate how they the effectively interact within a team, their ability to provide a valid and constructive contribution to the work requested. This part carries a weight of 10%.

• Written exam on all parts covered in the course that accounts for 100% of the grade with both open-ended and closed-ended questions. It will cover all parts of the course and require substantiated answers related to econometric techniques, research and data analysis. It will test the ability to use and interpret research methods with a critical view.  .

• Slides provided on Blackboard.

• Videos provided on Blackboard.

• ANGRIST, PISCHKE,  Mostly Harmless Econometrics: An Empiricist's Companion, 2009. 1st Edition.

• Online video tutorials on Stata on BBoard (many are also available on YouTube).

• Empirical research articles to be communicated during the class.