Course Syllabus for

Quantitative Methods
Kvantitativa metoder

VFT010F, 7.5 credits

Valid from: Autumn 2016
Decided by: Rektor/Viktor Öwall
Date of establishment: 2016-08-30

General Information

Division: Real Estate Science
Course type: Third-cycle course
Teaching languages: English, Swedish


This is a course in statistical methods (primarily regression analysis) used to analyze economic and other phenomena. These methods are for instance used in valuation and taxation of properties and in property price index construction. This is an advanced level course. After taking this course you will be able to use, explain and interpret quantitative methods, primarily regression analysis, to examine for instance real estate and construction markets.


Knowledge and Understanding

For a passing grade the doctoral student must understand how quantitative methods, mainly regression analysis, can be used to understand and interpret quantitative phenomena in the natural and social sciences.

Competences and Skills

For a passing grade the doctoral student must

Judgement and Approach

For a passing grade the doctoral student must understand and realize the conditions necessary for the interpretation of the quantitative data as well as the possibilities and limitations of quantitative analysis.

Course Contents

Regression analysis; estimation of linear models using ordinary least squares; STATA; specification of regression models; heteroscedasticity.

Course Literature

Studenmund, A. H.: Using Econometrics: A Practical Guide. 2013. ISBN 9781292021270.

Instruction Details

Types of instruction: Lectures, seminars

Examination Details

Examination formats: Written report, seminars given by participants
Grading scale: Failed, pass

Admission Details

Admission requirements: Admitted to postgraduate education

Further Information

The course is graded pass/fail. In order to pass the course the student should participate in lectures and seminars. In addition, the student has to turn in, present, and act opposition to another term paper.

Course Occasion Information

Contact and Other Information

Course coordinators:

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