MET 1333 Econometrics

MET 1333 Econometrics

Course code: 
MET 1333
Department: 
Economics
Credits: 
7.5
Course coordinator: 
Christian Brinch
Product category: 
Bachelor
Portfolio: 
Bachelor of Business and Economics - Programme Courses
Semester: 
2019 Autumn
Active status: 
Active
Teaching language: 
Norwegian
Course type: 
One semester
Introduction

This course offers an introduction to econometrics. Econometrics uses statistical methods to quantify economic relationships. These methods are used both in business and economics, as well as in other social sciences. The course has a fundementally international outlook, through the textbook, applications and the subject matter itself. The course teaches digital tools for analyzing data.

Learning outcomes - Knowledge

After completing the course the students will have:

  • Acquired knowledge about the application of regression analysis to quantify causal relationships.
  • Acquired knowledge about different regression models.
  • An understanding of the depth of the assumptions that must be met in order for the results of empirical analyzes to be interpreted causally.
Learning outcomes - Skills

After completing the course, students will be able to:

  • Critically interpret the results of empirical analyzes.
  • Discuss strategies for building models that can be used for predictions and policy analysis.
  • Master simple linear regression methods, as well as non-linear regression functions (such as logarithmic functions), regression with panel data (combined cross-sectional and time-series data), non-linear probability models (probil and logit), and methods for isolating variation in explanatory variables that are independent of the residual.
  • Use regression methods to analyze data using STATA.
General Competence

Students will be trained to use critical sense of the assumptions on which simple regression analysis is based. In many specific applications, these assumptions break down and they should know what problems this can cause. Students must therefore be open to testing if critical assumptions are in practice and could consider using modified models and methods that better suit the type of data they have available. The students should also be aware that there are causal relationships that are not possible to quantify in practice.

Course content
  1. Simple linear regression
  2. Multiple linear regression
  3. Non-linear regression functions
  4. Internal and external validity
  5. Regressions using panel data
  6. Probit and logit regressions
  7. Regressions with instrumental variables
  8. Experiments and quasi-experiments
Teaching and learning activities

The course consists of 36 hours of lectures and 9 hours of problem-solving.

Software tools
Stata
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.

Qualifications

Higher Education Entrance Qualification

Required prerequisite knowledge

MET 1180 Mathematics, MET 1190 Statistcs or equivalent.

Mandatory courseworkCourseworks givenCourseworks requiredComment coursework
Mandatory75I løpet av kurset bil det bli gitt syv (7) oppgaver via læringsplattformen It’s learning. Det er et krav at studentene skal ha fått godkjent fem (5) av disse for å kunne gå opp til eksamen. Tilbakemelding på oppgavene vil både skje elektronisk og gjennom oppgavegjennomgang i plenum. Ved kursstart vil det bli opplyst om tidsfristene for arbeidskravene. Arbeidskravene krever bruk av STATA.
Mandatory coursework:
Mandatory coursework:Mandatory
Courseworks given:7
Courseworks required:5
Comment coursework:I løpet av kurset bil det bli gitt syv (7) oppgaver via læringsplattformen It’s learning. Det er et krav at studentene skal ha fått godkjent fem (5) av disse for å kunne gå opp til eksamen. Tilbakemelding på oppgavene vil både skje elektronisk og gjennom oppgavegjennomgang i plenum. Ved kursstart vil det bli opplyst om tidsfristene for arbeidskravene. Arbeidskravene krever bruk av STATA.
Exam categoryWeightInvigilationDurationSupport materialsGroupingComment exam
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
MET13331
Grading scale:
ECTS
Grading rules:
Internal and external examiner
Resit:
Examination every semester
100Yes3 Hour(s)
  • BI-approved exam calculator
  • Simple calculator
Individual
Exams:
Exam category:Submission
Form of assessment:Written submission
Weight:100
Invigilation:Yes
Grouping (size):Individual
Support materials:
  • BI-approved exam calculator
  • Simple calculator
Duration:3 Hour(s)
Comment:
Exam code:MET13331
Grading scale:ECTS
Resit:Examination every semester
Type of Assessment: 
Ordinary examination
Total weight: 
100
Workload activityDurationType of durationComment student effort
Teaching36Hour(s)
Review of assignments in plenary9Hour(s)
Prepare for teaching100Hour(s)
Group work / Assignments52Hour(s)
Examination3Hour(s)
Expected student effort:
Workload activity:Teaching
Duration:36 Hour(s)
Comment:
Workload activity:Review of assignments in plenary
Duration:9 Hour(s)
Comment:
Workload activity:Prepare for teaching
Duration:100 Hour(s)
Comment:
Workload activity:Group work / Assignments
Duration:52 Hour(s)
Comment:
Workload activity:Examination
Duration:3 Hour(s)
Comment:
Sum workload: 
200

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.