Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/118619 
Authors: 
Year of Publication: 
2015
Citation: 
[Journal:] Economics: The Open-Access, Open-Assessment E-Journal [ISSN:] 1864-6042 [Volume:] 9 [Issue:] 2015-27 [Publisher:] Kiel Institute for the World Economy (IfW) [Place:] Kiel [Year:] 2015 [Pages:] 1-30
Publisher: 
Kiel Institute for the World Economy (IfW), Kiel
Abstract: 
This study analyses the effects of oil price and macroeconomic shocks on the Malaysian housing market using a SVAR framework. The specification of the baseline model is based on standard economic theory. The Gregory-Hansen (GH) cointegration test reveals that there is no cointegration among the variables of interest. The results obtained from the Toda-Yamamoto (TY) non-Granger causality test show that oil price, labor force and inflation are the leading factors responsible for changes in the Malaysian housing prices. The findings from estimating generalized impulse response functions (IRFs) and variance decompositions (VDCs) indicate that oil price and labor force shocks are responsible for substantial fluctuations in the price of housing in Malaysia.
Subjects: 
housing market fluctuations
oil price shocks
macroeconomic shocks
Malaysia
JEL: 
Q43
O18
F62
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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