In case of conflicting information consider the Sisu/Moodle pages the primary source of information.
This course introduces students with the basics of econometric and data analysis, with special emphasis on causal inference and modern applied micro-econometric methods. The aim of the course is to help students to build and develop skills needed to understand empirical methods that are used in modern applied economic research and to execute their own econometric projects.
The course focuses on the following topics and methods: randomized trials, regression, instrumental variables, regression-discontinuity designs, and differences-in-differences. We also explore a number of applications and discuss briefly a number of other modern micro-econometric approaches. The course also introduces students with econometric and statistical software, Stata in particular, and how it can be used in econometric and data analysis.
- Completion method: contact teaching
- Schedule: can be found in Schema
- search for teaching event (sök händelser) with the course name or Hanken course code and click the Info button and then choose the Reservations (Bokningar) sheet
- Study materials: can be found in Moodle (to be added to the list couple of days before the course starts)
- A Moodle course key will be sent by email or it is posted as a message in Sisu couple of days before the course starts.
- Log in with your Hanken username to be able to use all the features of the course workspace
Please register for the course in the Hanken Sisu with your Hanken username. Further instructions (link to be added here later).
After completing the course, you will be able to:
- identify and explain key concepts and methods used in modern applied micro-econometric research
- explain what causality means and why and when micro-econometric methods work
- interpret research that uses micro-econometric methods and, when relevant, present well-founded critique of applied econometric research papers
- use an econometric software
- plan and implement a small-scale empirical research project using applied micro-econometric methods