Housing Market Cycles in Large Urban Areas

This paper examines the behaviour of house prices in large metropolitan areas. Using a sample of metropolises it is shown that real estate prices are largely nonlinear. It is found that dynamic asymmetries in the housing market cycle can well be modelled using a logistic smooth transition model (LSTAR). Further, it is found that the LSTAR specification has better forecasting properties with respect to other linear and nonlinear models

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Year of publication:	2020
Authors:	Alqaralleh, Huthaifa
Other Persons:	Canepa, Alessandra (contributor)
Publisher:	[2020]: [S.l.] : SSRN
Subject:	Wohnungsmarkt \| Housing market \| Immobilienpreis \| Real estate price \| Ballungsraum \| Metropolitan area \| Städtischer Wohnungsmarkt \| Urban housing market

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Extent:	1 Online-Ressource (28 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: Economic Modelling, Forthcoming Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments November 2019 erstellt
Classification:	C10 - Econometric and Statistical Methods: General. General ; C31 - Cross-Sectional Models; Spatial Models ; C33 - Models with Panel Data
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012843794