ECON3150 - Introductory Econometrics

Schedule, syllabus and examination date

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Course content

This course is equivalent with ECON4150 - 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 concise introduction to econometric methods for analysis of single equation economic relationships. In addition to the theoretical approach, you will learn how to use modern software to do regression analyses of empirical data.

Central themes, both for lectures and seminars, are:

  • the specification of the statistical regression model and its relevance for economic data
  • the modeling of linear and non-linear relationships between economic variables
  • properties of ordinary least squares (OLS) estimators
  • statistical testing of economic hypotheses within a regression framework
  • generalizations of the regression model with heteroskedasticity and auto-correlation
  • introduction to the method of moments and the maximum likelihood principle for estimation of the parameters of a single equation econometric model
  • Introduction to forecasting using estimated econometric models

Learning outcome

Knowledge
You should

  • have concise knowledge of basic regression analysis of economic data
  • be able to interpret and critically evaluate outcomes of empirical analysis
  • know elementary procedures for model validation in the single equation context
  • know the theoretical background for standard methods used in empirical analyses, like properties of least squares estimators and statistical testing of hypotheses

Skills
You should

  • be able to apply modern computer programs in regression analyses of empirical data, including statistical testing to investigate whether the classical assumptions in regression analysis are satisfied
  • be a qualified user of basic econometric methods
  • perform be a critical reader of the literature concerning empirical analyses

Competence
You should

  • 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

Admission

Students at UiO must apply for courses in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

You can not attend this course if you have already passed specific ECON-courses at a higher level.

This course is not available for single course students.

 

Overlapping courses

Teaching

Lectures: 4 hours per week in the first part of the semester, then 2 hours.

Seminars: 2 hours per week through parts of the semester. Changing seminar group

There might occur weeks exempt from teaching.

All students must hand in a compulsory term paper

If the compulsory term paper is not approved, you will have one additional attempt. If you still do not succeed, you will not be permitted to take the exam in this course.

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.

Examination

A 3-hour written school exam.

You must have passed the mandatory activities in order to sit for the exam.

Previous exams

Use of sources and citation

You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.

Examination support material

Resources allowed: Open book examination where all printed and written resources, in addition to calculator, are allowed.

Language of examination

The examination text is given in English.You may submit your response in Norwegian, Swedish, Danish or English.

Grading scale

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.

Appeal

Explanation

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.

Ask for explanation of Your grade in this course

Ask for an explanation of your grade for postponed exam in this course.

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.

Students who might wish to retake the exam later, are not guaranteed that the course is ever repeated with a similar reading list, nor that the exam arrangement will be the same.

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.

Other

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.

Facts about this course

Credits

10

Level

Bachelor

Teaching

Every spring

Examination

Every spring

Teaching language

English

Contact

SV-info