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

## Aim

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.

## Goals

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

• be able run a regression on a data set using the software STATA and interpret the results regarding the following:
• interpretation of coefficients.
• statistical interpretation. For example test whether a coefficient is different from zero.
• coefficient of determination.
• explain the meaning of the points above.
• discuss the specification of a regression model (functional form, included variables).
• identify potential problems in a regression analysis. (heteroskedasticity, serial correlation, non-stationarity) and suggest solutions.
• make a forecast using regression analysis.
• interpret the results of the regression analysis for instance regarding causal relationships.

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
Examiner: