Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/201675 
Year of Publication: 
2018
Series/Report no.: 
Working Papers in Economics No. 2018-07
Publisher: 
University of Salzburg, Department of Social Sciences and Economics, Salzburg
Abstract: 
This paper uses a factor-augmented vector autoregressive model to examine the impact of monetary policy shocks on housing prices across metropolitan and micropolitan regions. To simultaneously estimate the model parameters and unobserved factors we rely on Bayesian estimation and inference. Policy shocks are identified using high-frequency suprises around policy announcements as an external instrument. Impulse reponse functions reveal differences in regional housing price responses, which in some cases are substantial. The heterogeneity in policy responses is found to be significantly related to local regulatory environments and housing supply elasticities. Moreover, housing prices responses tend to be similar within states and adjacent regions in neighboring states.
Subjects: 
Regional housing prices
metropolitan and micropolitan regions
factor-augmented vector autoregressive model
Bayesian estimation
high-frequency identification
JEL: 
C11
C32
E52
R31
Document Type: 
Working Paper

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