Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.
Students are acquainted with the principles of empirical methods in economics, regression analysis in particular. They know how to utilize those methods in analyzing data. They know how to use the econometrics software package stata.
Schedule: 12.01.2021 - 25.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Otto Toivanen
Teacher in charge (applies in this implementation): Otto Toivanen
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Short recap of probability and statistics; basics of cross-section linear regression; hypothesis testing; evaluation of the reliability of regression results; instrumental variable regression.
Assessment Methods and Criteria
Lectures, exercises and preparation
James H Stock and Mark Watson (2011) Introduction to Econometrics: International Edition.
Substitutes for Courses
Korvaa suomenkielisen kurssin Capstone: Ekonometria ja data-analyysi (31C99904).
The following courses are strongly recommended: Principles of Economics (31A00110, ECON-A2100, or equivalent) and Introduction to Statistics (30A02000/MS-A0503) or equivalent.
SDG: Sustainable Development Goals
8 Decent Work and Economic Growth
- Teacher: Otto Toivanen