LEARNING OUTCOMES
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.
Credits: 5
Schedule: 14.03.2023 - 10.05.2023
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Ciprian Domnisoru
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
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 for whole curriculum period:
60% exam, 40% exercises. The student needs to get at least half of both exercises and the exam to pass the course.
Workload
valid for whole curriculum period:
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.
DETAILS
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
8 Decent Work and Economic Growth
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Helsinki GSE course. More information on the course in HSGE study guide: https://www.helsinkigse.fi/courses/
Teaching Language : English
Teaching Period : 2022-2023 Spring IV
2023-2024 Spring IVEnrollment :
Registration in Sisu.