ECN201 Econometrics
Credits (ECTS):10
Course responsible:Erlend Dancke Sandorf
Campus / Online:Taught campus Ås
Teaching language:Engelsk
Course frequency:Annually
Nominal workload:250 hours
Teaching and exam period:The course starts in Autumn parallel. The course has teaching/evaluation in Autumn parallel.
About this course
The course covers simple and multiple regression analysis. Topics include: Ordinary Least Squares (OLS), hypothesis testing, violations of the OLS assumptions, Generalized Least Squares (GLS), dummy independent variables. The econometric program R is used in computer exercises.
Learning outcome
Knowledge
- Have knowledge of fundamental concepts in econometrics and statistics.
- Be familiar with the assumptions behind the least squares method and the consequences when these assumptions are not met.
- Be familiar with different types of economic data, such as cross-sectional, time series, and panel data, and understand how data influences model selection.
- Have knowledge of the theory underpinning statistical and econometric inference.
Skills
- Be able to conduct simple and multiple regression analyses on cross-sectional and time series data in R.
- Be able to test whether the assumptions of the model hold in R.
- Be able to test and correct for misspecification in a regression analysis.
- Be able to test economic hypotheses using the model.
- Read, interpret, and critically evaluate reports and articles that use regression analyses.
General Competence
- Identify issues and formulate researchable questions within applied economics.
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