MET 1333 Econometrics
MET 1333 Econometrics
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.
After having completed this course you should be able to explain how regression analysis is used to quantify economic relationships. You should be able to explain under what circumstances empirical analysis may be given a causal interpretation. You should be able to interpret empirical analysis critically.
You should acquire the relevant skills to be able to use regression analysis to quantify causal relationships. You should be able to discuss different modelling strategies useful for prediction and policy analysis. In addition to linear regression methods, you should also understand non-linear regression functions (such as log specifications), regression with panel data (combined cross sectional and time series data), non-linear probability methods (probit and logit), and methods for isolation variation in explanatory variables that are independent from the error term.
The course provides you with critical thinking skills relevant for discussing assumptions that least square techniques build on. You should be able to use models and methods relevant for the data you have available and be able to discuss critically whether the assumptions imposed hold in practice.
- Simple linear regression
- Multiple linear regression
- Non-linear regression functions
- Internal and external validity
- Regressions using panel data
- Probit and logit regressions
- Regressions with instrumental variables
- Experiments and quasi-experiments
The course consists of 36 hours of lectures and 9 hours of problem-solving.
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.
MET 1180 Mathematics, MET 1190 Statistcs or equivalent.
| Mandatory coursework | Courseworks given | Courseworks required | Comment coursework |
|---|---|---|---|
| Mandatory | 7 | 5 | 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. |
| Assessments |
|---|
Exam category: Submission Form of assessment: Written submission Invigilation Weight: 100 Grouping: Individual Support materials:
Duration: 3 Hour(s) Exam code: MET13331 Grading scale: ECTS Resit: Examination every semester |
| Activity | Duration | Comment |
|---|---|---|
Teaching | 36 Hour(s) | |
Feedback activities and counselling | 9 Hour(s) | |
Prepare for teaching | 100 Hour(s) | |
Group work / Assignments | 52 Hour(s) | |
Examination | 3 Hour(s) |
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.