EPN

ØAMET4100 Econometrics Course description

Course name in Norwegian
Økonometri
Study programme
Masterstudium i økonomi og administrasjon
Oslo Business School, Exchange Programme
Weight
10.0 ECTS
Year of study
2022/2023
Course history

Introduction

Econometrics is a methods course that deals with the use of economic theory and statistical techniques to analyze economic data. The course prepares students for data analyst positions in economics, business, finance, and government. The course is compulsory for students who major in Economics or Finance.

Recommended preliminary courses

ØAMET4000 or equivalent

Required preliminary courses

None

Learning outcomes

After completing the course, students will acquired the learning outcomes defined in knowledge, skills and general competence:

  • Knowledge: The student has
    • Theoretical and practical knowledge of different econometric methods 
    • An understanding of the strengths and weaknesses of alternative econometric techniques 
    • The ability to assess the suitability of econometric methods in relation to research questions and data sets
  • Skills: The student can
    • Formulate empirical research questions and apply econometric theory in a reflective manner
    • Make well-founded econometric methodology choices
    • Gather, obtain, and organize quantitative data
    • Carry out empirical analyses of real data using econometric software 
    • Interpret the results of different econometric methods
    • Draw up an empirical plan for a research project​
  • General Competence: The student can
    • Think critically and understand the role of empirical evidence in evaluating economic and finance questions
    • Develop a well-organized argument that is supported by empirical evidence
    • Communicate effectively about economic and finance issues

Content

  • Regressions with Panel Data
  • Instrumental Variables Regression
  • Experiments and Quasi-experiments
  • Regression Analysis of Time Series Data

Teaching and learning methods

The course will be taught through lectures and in-class exercises. The course will also make use of software for data analysis. 

Course requirements

In order to be able to register for the exam, the student must have the following approved work requirements:

There will be five problem sets. Problem sets may be submitted individually or in groups of up to four students. If the assignments are not approved, the student will be given one opportunity to submit a new or improved version.  Further information regarding submission and due dates will be provided during the semester. 

Assessment

Written school exam (4 hours). 

Permitted exam materials and equipment

Calculator (see separate regulations)

One dictionary (either first language-English/English-first language or English/English).

 

Grading scale

Grading scale A-F

Examiners

An internal and an external examiner will grade the exam papers. 

A selection of at least 25% of the exam papers will be assessed by two examiners. The grades awarded to exam papers assessed by the external and internal examiner will be used to determine the level of all exam papers.