Subject description for 2024/25
Econometrics
FIN5000
Subject description for 2024/25

Econometrics

FIN5000
The course is only open to students in the Master of Science in Business study programme.

Knowledge

Students:

  • Has in-depth knowledge of elementary econometric methods
  • Ability to apply econometric models across topics in business economics
  • Has in-depth knowledge of research methodology within econometric methods for both cross-sections, time series and panel data.
  • Can apply econometric models in new areas of economics and finance
  • Can analyze and interpret estimated regression coefficients for both simple and multiple regression analysis
  • Can analyze econometric issues, including but not limited to cases where variables are stationary or non-stationary.

Skills

Students:

  • Can analyze and critically evaluate existing econometric theories, methods and interpretations of information sources and data sets
  • Can use and analyze relevant methods for research in econometrics in an independent way
  • Can, based on own analyzes and calculations, structure and formulate professional reasoning and arguments
  • Can carry out and produce independent analytical work in econometrics under supervision and in line with research ethics norms.
  • Can use analytical and digital tools in practical work.

General competence

Students:

  • Can analyze relevant issues in finance and economics where econometric methods are used
  • Can apply and easily acquire skills in new digital tools and analysis methods.
  • Can carry out independent econometric work with calculations, interpretations of results, discussion of relevant research work in one and the same document
  • Can convey extensive independent econometric work and masters econometric forms of expression
  • Can communicate econometric issues and analyzes with people with and without econometric background
  • Can contribute to innovation and innovative solutions in economics and finance by using ecometric methods
Paid semester fee and syllabus literature. It is also required that students have a laptop at their disposal.
Lectures.
The study programme is evaluated annually by students by way of course evaluation studies. These evaluations are included in the universitys quality assurance system.

Bilingual dictionary and simple calculator. Generating an answer using ChatGPT or similar artificial intelligence and submitting it wholly or partially as one's own answer is considered cheating.