EXC 3506 Research Methods and Econometrics

EXC 3506 Research Methods and Econometrics

Course code: 
EXC 3506
Course coordinator: 
David Kreiberg
Course name in Norwegian: 
Research Methods and Econometrics
Product category: 
Bachelor of Business Administration (BBA) - Programme Courses
2021 Autumn
Active status: 
Level of study: 
Teaching language: 
Course type: 
One semester

The course provides an introduction to the research methods of the social sciences and to econometrics. Research methods is important for the understanding of the strengths, limitations and possibilities of applied research in general, and of econometric research in particular. Research methods also provides an insight into which approaches that are most appropriate for a certain research question. Regression analysis, a key component of econometrics, is a powerful and very flexible multivariate data analysis tool that can shed light on a very large number of economic issues.

Learning outcomes - Knowledge

After the course, the students will have knowledge about:

  • Important research methodological concepts
  • The main principles of scientific thinking
  • Knowledge of the main approaches (both qualitative and quantitative) to the collection, processing and analysis of data
  • Basic econometrics
  • Possibilities and limitations of econometric tools for business uses (research, quality control, forecasting, logistic analysis and control, etc.)
  • Limitations in the case where statistical assumptions are violated
  • The plurality of interpretation and uncertainty associated with econometric analysis
Learning outcomes - Skills

After the course the students will be able to:

  • Understand and assess research based on scientific principles
  • Evaluate which approaches that best suit the nature of a research question
  • Collect, process and analyse data on the basis of scientific research methods
  • Conduct econometric analysis by means of modern software
  • Conduct and interpret the results of multiple econometric hypothesis testing, also in the cases where the classical assumptions are not fulfilled
  • Undertake model selection
General Competence
  • The students should acquire a conscious and critical attitude towards data, towards econometric analysis, and towards the assessment and interpretation of results from applied research
Course content
  • Research methods and the philosophy of science
  • Research questions, hypotheses and types of data
  • Variation in research design, plurality of interpretation and the uncertainty of inference
  • Simple and multiple regression
  • Variation in functional form
  • Regression with qualitative right-hand side variables
  • Multicolinearity
  • Heteroscedasticity
  • Autocorrelation
  • Specification error and model selection
  • Dynamic models and forecasting
  • Qualitative left-hand side variables
Teaching and learning activities

The course consists of 42 lecture hours, where the lectures may be combined with the solution of exercises and the use of software

Software tools
Additional information

Re-sit examination
Students that have not gotten approved the coursework requirements, must re-take the exercises during the next scheduled course.

Students that have not passed the written examination or who wish to improve their grade may re-take the examination in connection with the next scheduled examination.


Higher Education Entrance Qualification


Due to the Covid-19 pandemic, there may be deviations in teaching and learning activities as well as exams, compared with what is described in this course description.


Information about what is taught on campus and other digital forms will be presented with the lecture plan before the start of the course each semester.

Required prerequisite knowledge

EXC 2904 Statistics or MET 2920 Statistics for economists or MET 3431 Statistics or the equivalent.

Mandatory courseworkCourseworks givenCourseworks requiredComment coursework
Mandatory22Each of the exercises consist of two parts, one case-based part that requires the use of software, and one part that is not case-based. The publication, solution and handing in of the exercises is done via the current learning platform (It's Learning). Feedback is given either via It's Learning and/or lectures.
Mandatory coursework:
Mandatory coursework:Mandatory
Courseworks given:2
Courseworks required:2
Comment coursework:Each of the exercises consist of two parts, one case-based part that requires the use of software, and one part that is not case-based. The publication, solution and handing in of the exercises is done via the current learning platform (It's Learning). Feedback is given either via It's Learning and/or lectures.
Exam category: 
Form of assessment: 
Structured test
Support materials: 
  • All printed and handwritten support materials
  • BI-approved exam calculator
  • Simple calculator
3 Hour(s)
The exam questions are partly based on a case that is published two weeks before the exam. The results from the case shall not have be handed in. In addition to questions from the case results, the exam will also contain questions on the whole syllabus.
Exam code: 
Grading scale: 
Examination every semester
Type of Assessment: 
Ordinary examination
Total weight: 
Student workload
36 Hour(s)
Feedback activities and counselling
6 Hour(s)
Instruction on the use of econometric software.
Group work / Assignments
70 Hour(s)
Student's own work with learning resources
60 Hour(s)
Self-study, preparation to lectures and group-studying.
15 Hour(s)
Obligatory excercises.
13 Hour(s)
Exam case and exam.
Sum workload: 

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 7,5 ECTS credit corresponds to a workload of at least 200 hours.