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Vilka faktorer påverkar bostadspriserna i Sverige?
University West, School of Business, Economics and IT.
University West, School of Business, Economics and IT.
2023 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

1 000 000 homes have been built in Sweden since the year 1990 which is an increase by 25 percent, but what are the major factors that make the price change of these homes? This research paper studies which factors that effects the house prices in Sweden the most for the time series between 2002 and 2022. The dependent variable is the real estate price index (PH), the policy interest rate (S), consumer price index (KPI), unemployment (AL), disposable income (DI), mortgage interest rate (B), gross domestic product (BNP) and the population (POP) as our independent variables. The variables will be percentage change and quarterly. The paper will use a OLS regression followed by a Dickey-Fuller test and then finally see if the dependent variable has any cointegration with any of the independent variables or the model. This study shows that the consumer price index (KPI) has the most negative effect on the house prices of all the variables, but the study also show that GDP have has the most positive effect of all the variables on the dependent variable (house prices). 

Abstract [sv]

1 000 000 bostäder har byggts i Sverige sedan år 1990 vilket är en ökning med 25 procent, men vilka är de viktigaste faktorerna som gör att priset förändras på dessa bostäder? Denna forskningsartikel studerar vilka faktorer som påverkar bostadspriserna i Sverige mest för tidsserien mellan 2002 och 2022. Den beroende variabeln är fastighetsprisindex (PH). Styrräntan (S), konsumentprisindex (KPI)), arbetslöshet (AL), disponibel inkomst (DI), bostadsränta (B), bruttonationalprodukt (BNP) och befolkningen (POP) är våra oberoende variabler. Variablerna kommer att vara den procentuella förändringen kvartalsvis. Studien kommer att använda en OLS-regression följt av ett Dickey-Fuller test och sedan slutligen se om den beroende variabeln har någon kointegration med någon av de oberoende variablerna eller modellen. Denna studie visar att konsumentprisindex (KPI) har den mest negativa effekten på bostadspriserna av alla variabler, men studien visar också att BNP har den mest positiva effekten av alla variabler på den beroende variabeln (fastighetsprisindex).

Place, publisher, year, edition, pages
2023. , p. 21
Keywords [sv]
Bostadspriser, fastighetsmarknaden
National Category
Economics
Identifiers
URN: urn:nbn:se:hv:diva-20505Local ID: EXC513OAI: oai:DiVA.org:hv-20505DiVA, id: diva2:1782138
Subject / course
Nationalekonomi
Educational program
Mäklarekonomprogrammet, fastighet och finans
Supervisors
Examiners
Available from: 2023-07-19 Created: 2023-07-12 Last updated: 2023-11-08Bibliographically approved

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