Abstract
This article uses a factor‐augmented vector autoregressive model to examine the impact of monetary policy shocks on housing prices. To simultaneously estimate the model parameters and unobserved factors, we rely on Bayesian estimation and inference. Policy shocks are identified using high‐frequency surprises around policy announcements as an external instrument. Impulse response 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.
Original language | English |
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Pages (from-to) | 1039 - 1068 |
Journal | Real Estate Economics |
Volume | 49 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2021 |
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 507026 Economic geography
- 507003 Geoinformatics