Projects per year
In this study interest centers on regional differences in the response of housing prices to monetary policy shocks in the US. We address this issue by analyzing monthly home price data for metropolitan regions using a factor-augmented vector autoregression (FAVAR) model. Bayesian model estimation is based on Gibbs sampling with Normal-Gamma shrinkage priors for the autoregressive coefficients and factor loadings, while monetary policy shocks are identified using high-frequency surprises around policy announcements as external instruments. The empirical results indicate that monetary policy actions typically have sizeable and significant positive effects on regional housing prices, revealing differences in magnitude and duration. The largest effects are observed in regions located in states on both the East and West Coasts, notably California, Arizona and Florida.
|Publication status||Published - 2018|
|Series||Working Papers in Regional Science|
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 507026 Economic geography
- 507003 Geoinformatics
WU Working Paper Series
- Working Papers in Regional Science
- 1 Finished
Modeling and forecasting exchange rates in an unified econometric framework
Zörner, T., Haid, B., Hauzenberger, N., Hotz-Behofsits, C., Huber, F., Kritzinger, M. & Pfarrhofer, M.
1/01/18 → 31/12/20
Project: Research funding