The recent housing market experience has led many to concern that the developments in the housing sector are not just a passive reflection of macroeconomic activities but instead might be one of the driving forces of them. In this context, it is crucial to understand the nature of the economy by considering the housing market and build a suitable monetary policy. In this paper, using Bayesian methods, we develop and estimate a DSGE model for Iran from 1988q1 to 2017q4, which explicitly models the housing in the banks’ portfolio to study the macroeconomic effects of monetary authority’s reaction to the housing price inflation. Our findings indicate that this reaction amplifies all the implications of the structural shocks.
