ØSS114 Econometrics

Contents and structure

Basic statistical analysis of economic data with emphasis on regression analysis. The course has an applied focus.

Learning Outcome

On completion of the course, the student should have the following total learning outcomes:

Knowledge:

• Different types of data
  • Cross section
  • Time series
  • Panel
  • Challenges and methods related to the different types of data
• Multiple regression analysis:
  • OLS
  • Assumptions 
  • Characteristics
• Problems related to:
  • Heteroskadasticity
  • Autocorrelation
  • Model specification
  • Multicolinearity
  • Non-stationarity 
• Selected topics

Skills

• Read and interpret simple econometric works.
• Make use of relevant statistical software.
• Formulate simple econometric models and testable hypotheses.
• Conduct an empirical analysis on a dataset.
• Formulate and conduct relevant specification tests.

General competence

• Develop a greater understanding of data and analysis of data.
• Master basic statistical analysis apparatus.
• Develop a critical attitude towards statistical analysis.

Recommended previous knowledge

ØSO001 Microeconomics, ØMO001 Mathematics

Teaching methods

Lectures and problem solving.

Assessment

Written school exam, 5 hours. The exam will be held on the digital exam system. The time and place for the exam will be announced on Studentweb. Grading scale A-F, where F means the student failed.

Examination support material

Calculator. Own PC. All written supplements.

More about examination support material