Credits: 3

Schedule: 10.03.2020 - 08.05.2020

Teacher in charge (valid 01.08.2018-31.07.2020): 

Otto Toivanen

Teaching Period (valid 01.08.2018-31.07.2020): 

Period IV (2019-2020)

Learning Outcomes (valid 01.08.2018-31.07.2020): 

After the course, the student should know the basic properties and limitations of the microeconometric models discussed, and be able to implement them in empiri-cal research. The student also appreciates the connections between economic the-ory and empirical methods. The course also works as a foundation for more ad-vanced methodological and applied courses in microeconometrics.

Content (valid 01.08.2018-31.07.2020): 

This course covers a number of central models and methods employed in modern microeconometric research. The emphasis is on different types of dependent varia-bles and data structures (cross section and panel data). The connection between economic theory and empirical methods is emphasized. Specifically, the topics covered in the course include
1. Discrete choice models
2. Tobit models
3. Sample selection models
4. Survival / duration analysis
5. The bounds approach
6. Panel data estimators
7. Calculation of standard errors

Assessment Methods and Criteria (valid 01.08.2018-31.07.2020): 

60% exam, 40% exercises. The student needs to get at least half of both exercises and the exam to pass the course.

Workload (valid 01.08.2018-31.07.2020): 

The course consists of lectures (24 hours) and exercise sessions (8 hours), where solutions to the homework assignments are discussed. The lectures and exercise sessions are not mandatory.

Study Material (valid 01.08.2018-31.07.2020): 

lecture notes and reading list

Course Homepage (valid 01.08.2018-31.07.2020):

Prerequisites (valid 01.08.2018-31.07.2020): 

Advanced Econometrics 1 and 2

Grading Scale (valid 01.08.2018-31.07.2020): 


Registration for Courses (valid 01.08.2018-31.07.2020): 

Registration for course and exam via WebOodi

Further Information (valid 01.08.2018-31.07.2020): 

The course is lectured at Economicum (Arkadiankatu 7, Helsinki)


Registration and further information