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In the late 1990s and early 21 century there has been a very big rise in the price of housing in most countries including the United States and Japan. The same trend occurred in Iran in the years after the Iran-Iraq war and has continued up to the present. Housing in Iran has always had a mutual relationship with economic fluctuations including monetary policies. Thus the impact of housing on Iran’s economy is significant. In this applied- analytical research, the aim is to investigate the monetary transmission mechanism in the housing market in Iran during the years 1988-2006 by using a SVAR eight- variable model and seasonal data. The research found that the expansionary-monetary shock policy, which is the result of liquidity shock, has had a significant impact on housing prices lasting for 3 years at a time. Meanwhile, the price of housing explains about 20 per cent of the GDP changes in the study period.

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One of the most important aspects of vulnerability of the Iran economy can be observed in depreciation of real exchange rate during the oil booms. This phenomenon is called "Dutch disease". In other words when a country starts exporting natural resources, the ensuing capital inflows lead to an increase in demand. The real exchange rate (RER) typically appreciates due to “spending effect” as the price of domestic nontradables increases relative to the price of tradables. The main objective of this paper is to examine the cyclical patterns of the house price and macroeconomic variables in Iran. Using Hodrick and Prescot filtering method, the cross-correlation analysis is first presented to identify the long-run behavior of the variables. Then based on the vector autoregressive (VAR) model, we investigate the interaction between housing price cycles and cyclical component of real oil revenue, real exchange rate, real GDP, money supply and interest rate. The results show that positive oil shocks, leads to an increase in housing price cycles.