ECON4150 – Introductory Econometrics
Schedule, syllabus and examination date
This course is equivalent with ECON3150 – Introductory Econometrics
This is the compulsory master’s level course in econometrics. It builds on the bachelor’s level course in statistics and is the starting point for advanced econometrics. Through this course you will get a broad knowledge about statistical methods for analysing single equation econometrics models. In addition to the theoretical approach, you will also be learn how to use the programme package Stata to do regression analyses of empirical data.
Central themes, both for lectures and seminars, are:
- regression model adapted to cross section and time-series data
- how to estimate parameters in regressions equations when the random disturbances are allowed to be heteroskedastic or auto-correlated
- how to use estimated regression models for prediction
- (a brief) introduction to the method of moments and the maximum likelihood principle for estimation of the parameters of a single equation econometric model.
- a broad knowledge of regression analysis relevant for analysing economic data.
- interpretation and critical evaluation of the outcomes of empirical analysis
- elementary procedures for model validation in the single equation context.
- theoretical background for the standard methods used in empirical analyses, like properties of least squares estimators and the statistical testing of hypothesis.
- use Stata the computer based program package for econometric analyses.
- apply the program (Stata) in regression analyses of empirical data.
- be a qualified user of econometric methods.
- perform statistical tests to investigate whether the classical assumptions in regression analysis are satisfied.
- be a critical reader of the literature concerning empirical analyses.
- be able to read and understand project reports and journal articles that make use of the concepts and methods that are introduced in the course
- be able to make use of econometric models in your own academic work, for example in analyses needed for your master’s thesis
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Apply for guest student status if you are admitted to another Master's programme, or have completed a master in Economics at UiO or another Norwegian University.
Formal prerequisite knowledge
- ECON1100 – Matematikk I or ECON2200 – Matematikk 1/Mikro 1 (MM1) (discontinued)
- ECON2130 – Statistikk 1
- 10 credits overlap with ECON3150 – Introductory Econometrics
- 10 credits overlap with SØK2ØMG Økonometri grunnkurs
- 10 credits overlap with ECON4135 – Applied statistics and econometrics (discontinued)
- 5 credits overlap with STK2120 – Statistical Methods and Data Analysis 2 (discontinued)
- 5 credits overlap with STK1120 – Statistical methods and data analysis 2 (continued)
Lectures and seminars.
Compulsory tuition activities:
- A compulsory term paper.
If the compulsory term paper is not approved, you may be given a second attempt to hand in a new term paper/improve the term paper within a short deadline.
When the compulsory term paper is approved, the result will be registered. The term paper will be valid for 8 consecutive semesters.
Candidates who have passed the course before autumn 2016 and wish to re-take the exam need to get the term paper approved before they can re-take the exam.
Absence from compulsory tuition activities
If you are ill or have another valid reason for being absent from compulsory tuition activities, your absence may be approved or the compulsory activity may be postponed.
A 3-hour written school exam.
You must have passed the mandatory activities in order to sit for the exam.
Use of sources and citation
Examination support material
Resources allowed: Open book examination where all printed and written resources, in addition to calculator, are allowed.
From spring 2018 there are two calculators allowed for examinations:
- Aurora HC106 - a very simple calculator with most basic functions
- Casio FX-85EX which is a scientific calculator with 274 functions
All other calculator types will be rejected. The calculators are checked in the exam room. There is no opportunity to lend the calculator of fellow students.
You can buy the calculators at Akademika bookstore at Blindern, or online.
The same general rules for cheating also apply when using calculator.
Language of examination
The examination text is given in English.You may submit your response in Norwegian, Swedish, Danish or English.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Explanations and appeals
It is recommended to request an explanation of your grade before you decide to appeal.
The deadline to request an explanation is one week after the grade is published. For oral and practical examinations, the deadline is immediately after you have received your grade.
The explanation should normally be given within two weeks after you have asked for it. The examiner decides whether the explanation is to be given in writing or verbally.
Resit an examination
If you are sick or have another valid reason for not attending the regular exam, we offer a postponed exam later in the same semester.
There are restrictions on resitting this exam. See further information about resitting an exam.
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
This is a master's level course, but still open for bachelor's students with sufficient background in mathematics and statistics. ECON3150 – Introductory Econometrics is the course code for the bachelor's students. ECON4150 – Introductory Econometrics is the course code for the master's students.