House price determinants: Fundamentals and underlying factors created by Bernardina Algieri

By:

Algieri, Bernardina [author]

Material type: Text

TextSeries: Comparative Economic Studies ; Volume 55, number 2Hampshire: Palgrave, 2013Content type:

text

Media type:

unmediated

Carrier type:

volume

ISSN:

08887233

Subject(s):

House prices -- Fundamentals stochastic trends -- Stochastic trends

LOC classification:

HB90 COM

Online resources:

Click here to access online

Abstract: This study examines the key drivers of real house prices in the five main Euro area countries (Germany, France, Italy, Spain, and the Netherlands) and the Anglo–Saxon economies (the United Kingdom and the United States) from 1970 to 2010. Estimating the determinants of house prices is very important, as they significantly influence economic activity and financial stability. Therefore, a multivariate unobserved component model, introduced by Harvey, has been used to model house price fluctuations. This technique allows us to catch those price movements that are not fully explained by economic fundamentals. The empirical results, in fact, indicate that in addition to changes in real income, long-run interest rates, stock prices and inflation, the latent component has a significant role in explaining real house prices. The latent component reflects those factors that are not specifically observed, such as structural changes in markets and changing preferences.

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Holdings
Item type	Current library	Call number	Vol info	Copy number	Status	Notes	Date due	Barcode
Journal Article	Main Library - Special Collections	HB90 COM (Browse shelf(Opens below))	Vol. 55, no. 2 (pages 287-314)	SP16303	Not for loan	For In house Use

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This study examines the key drivers of real house prices in the five main Euro area countries (Germany, France, Italy, Spain, and the Netherlands) and the Anglo–Saxon economies (the United Kingdom and the United States) from 1970 to 2010. Estimating the determinants of house prices is very important, as they significantly influence economic activity and financial stability. Therefore, a multivariate unobserved component model, introduced by Harvey, has been used to model house price fluctuations. This technique allows us to catch those price movements that are not fully explained by economic fundamentals. The empirical results, in fact, indicate that in addition to changes in real income, long-run interest rates, stock prices and inflation, the latent component has a significant role in explaining real house prices. The latent component reflects those factors that are not specifically observed, such as structural changes in markets and changing preferences.

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