Arbeitspapier

House prices and interest rates: Bayesian evidence from Germany

This study uses a Bayesian VAR to demonstrate that the recent house price boom in Germany can be explained by falling interest rates and that higher interest rates are likely suciffient to stop the increase of German house prices. The latter suggests a potential drawback of the current monetary policy of the ECB. The BVAR's prior information shrinks the model parameters towards a parsimonious benchmark. We provide a simulation study to compare the frequentist properties of two useful strategies to select the informativeness of the prior. The study reveals that prior information helps to obtain more precise estimates of impulse response functions in small samples. To choose relevant control variables, we use a new Bayesian variable selection approach by Ding and Karlsson (2014). In addition to impulse responses and variance decompositions, we use a Bayesian conditional forecast to test the hypothetical effect of an increase of interest rates on house prices. This approach has the crucial advantage that it is invariant to the ordering of the variables.

ISBN
978-3-86788-722-9
Sprache
Englisch

Erschienen in
Series: Ruhr Economic Papers ; No. 620

Klassifikation
Wirtschaft
Bayesian Analysis: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Forecasting Models; Simulation Methods
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Interest Rates: Determination, Term Structure, and Effects
Thema
Bayesian VAR
shrinkage
house prices

Ereignis
Geistige Schöpfung
(wer)
Hanck, Christoph
Prüser, Jan
Ereignis
Veröffentlichung
(wer)
Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI)
(wo)
Essen
(wann)
2016

DOI
doi:10.4419/86788722
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Hanck, Christoph
  • Prüser, Jan
  • Rheinisch-Westfälisches Institut für Wirtschaftsforschung (RWI)

Entstanden

  • 2016

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