GRA 6612 Applied Microeconomics
GRA 6612 Applied Microeconomics
The course teaches modern design based approaches to empirical analysis that are prevalent in applied empirical microeconomics. The emphasis is on how we think about designing empirical strategies for and on what is considered sound empirical evidence in applied microeconomics. The course further teaches topics in applied microeconomics with a strong leaning towards labor economics. The labor market is probably the most important market in the economy, and a thorough understanding of the labor market is key for understanding the workings of the economy in general and the effects of public policy targeted to the labor market in particular, such as education policies, income taxation and benefits for the sick and the elderly. This course teaches the main themes of labor economics, including personell economics.
After taking this course, students should
- know the core theoretical analysis of key questions in labor economics,
- know how to assess such questions using design based econometric approaches,
- know core empirical results from applied labor economics.
After taking this course, students should be able to perform and report the relevant results from
- a statistical analysis analysis of the effect of a treatment based on an experiment with random assignment,
- an analysis of the effect of treatment, when treatment assignment is determined by observables, using regression analysis as a matching estimator,
- an analysis using instrumental variables techniques for the case where treatment assignment is partly based on some random variable that does not directly affect the outcome of interest,
- a regression discontinuity analysis, for the case where treatment assignment is determined by a known "running variable",
- a difference-in-differences analysis, where treatment and control groups are not identical, but similar enough to show the same trends in outcomes over time in the absence of treatment.
After taking this course, students should
- be able to read research literature and make independent judgements of whether the empirical evidence reported is credible or not,
- have acquired an advanced understanding of causal effects based on Rubin's potential outcomes framework.
- Empirical strategies in applied microeconomics
- Labor supply
- Economics of education and training
- Discrimination in the labor market
- lncentives and personell economics
Please note that while attendance is not compulsory in all courses, it is the student's own responsibility to obtain any information provided in class that is not included on the course homepage/lt's learning or text book.
This is a course with continuous assessment (several exam components) and one final exam code. Each exam component is graded by using points on a scale from 0-100. The components will be weighted together according to the information in the course description in order to calculate the final letter grade for the examination code (course). Students who fail to participate in one/some/all exam elements will get a lower grade or may fail the course. You will find detailed information about the point system and the cut off points with reference to the letter grades when the course start.
At resit, all exam components must, as a main rule, be retaken during next scheduled course.
All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
| Assessments |
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Exam category: Activity Form of assessment: Presentation Weight: 20 Grouping: Group (4 - 6) Exam code: GRA66121 Grading scale: Point scale leading to ECTS letter grade Resit: All components must, as a main rule, be retaken during next scheduled course |
Exam category: Submission Form of assessment: Written submission Invigilation Weight: 80 Grouping: Individual Support materials:
Duration: 3 Hour(s) Comment: Final written examination with supervision Exam code: GRA66121 Grading scale: Point scale leading to ECTS letter grade Resit: All components must, as a main rule, be retaken during next scheduled course |
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.