Showing 10 results for Housing
Dr Mohammad Bager Beheshti, Fakhri Sadat Mohseni Zonuzi,
Volume 1, Issue 1 (10-2010)
Abstract
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.
Hassan Heydari,
Volume 2, Issue 6 (12-2011)
Abstract
In this paper, a small scale Factor-Augmented Vector Autoregressive (FAVAR) Model is utilized to analyze the effects of monetary shocks on price level and economic activities in the Iranian housing sector. To analyze the "price level", four price indices of the housing sector were used and also six indices to estimate the "economic activities" in this sector were determined. The results show that shocks from liquidity and high powered money will have wave-like effects on the housing sector in Iran. The waves have an approximate duration of 5 years which is confirmed by observations of the housing sector in Iran. Also the results show that the effects of the liquidity shocks have more durable effects on the sector in comparison with the high powered money shocks.
Dr Mohsen Mehrara, Keyvan Shahab Lavasani,
Volume 3, Issue 7 (3-2012)
Abstract
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.
Keyvan Shahab Lavasani, Hossein Abbasi Nejad,
Volume 5, Issue 18 (12-2014)
Abstract
Generally,some booms in housing prices are followed by busts. One common phenomenon relating these changes is that the house price cycle is generally believed to the product of the short-run deviations from the long-run upward trends. The long-term cyclical fluctuation in Iran’s housing market was periodically occurred about every 6 years.
Furthermore, Movements in house prices have significant impact on household welfare, financial stability and business cycles. Being able to forecast housing price booms is therefore of central importance for central banks, financial supervision authorities as well as for other economic agents. However, forecasting house prices using only a single or a few selected variables at a time intuitively appears efficient because only a single variable almost contain all of the pertinent investigative information about the past behavior of the variable. In this study, wavelet decomposition has been used to extract the cyclical components of house price, and then using the cyclical components and neural network methodwe start to forecast the booms in housing prices in 2013.
Aliakbar Gholizadeh, Mohsen Ebrahimi, Behnaz Kamyab,
Volume 6, Issue 21 (10-2015)
Abstract
In this study, by applyig a combination of Autoregressive Conditional Heteroskedasticity and stochastic differential equations Models with Markowitz model we estimate the optimal portfolio investment in the housing market are discussed. For this purpose, use of assets, stock prices, housing prices, the price of coins and bonds during the period 1999-2013 with the monthly data. Autoregressive Conditional Heteroskedasticity Models and stochastic differential equations results as input variables used to estimate the optimal portfolio Markowitz. Mean-variance analysis shows that during the real estate boom, housing as the dominant assets in risky assets and the largest share of funds to be allocated. During recent periods of recession as the housing sector, the housing of the optimal portfolio investment abroad and instead of stocks and investment coins in the basket of assets is considered dominant. Generally, bonds as risk-free assets in all periods as a reliable asset in the portfolio is considered optimal investor.
Aziz Arman, Mis Batool Azari Beni,
Volume 9, Issue 34 (12-2018)
Abstract
Fluctuations in housing prices in recent years in Iran has always been one of the most important economic issues on the economic welfare changes affect lifetime. In this paper, the effects of housing on the dynamics of income generations age is examined. This phenomenon type of model is designed to assess the generation of data building. The model is designed household budget generations by combining cross-sectional data from households in the years 2007 to 2015 are tracking. In this research, in order to clarify the contents of the review results in four steps without shock and shock 5, 10 and 15 percent reported. The results show that the average income of households without shock reduced from 86 years to 89 and then 89 years with little speed has increased, although the increase in revenue in less than 86 years is 90 years. As well as small shock in 2007 has led to middle income households in that year and the following years than before the occurrence of shocks is reduced. While the occurrence of a great shock (15%) reduces the average household income has been greatly. This could mean that in the event of a large shock of vulnerable households are barely able to restore income dropped while repairing a small shock is possible.
Ali Akbar Gholizade, Maryam Noroozonejad,
Volume 10, Issue 36 (6-2019)
Abstract
This paper studies the relationship between housing prices and business cycles in Iran. Since housing has a dual nature, that is, both private and capital nature, it can play an important role in investment costs and economic growth and incite other manufacturing sectors in the country. In this paper, housing prices and business cycles have been used to measure housing as a collateral, which is included in corporate credit constraints as well as a shock based on observations in housing price fluctuations. In order to investigate the relationship between housing prices, investment and economic fluctuations in Iran, seasonal data for the period 1991-2016 was used. To evaluate this dynamic, a dynamic stochastic general equilibrium model has been used. The results show a movement between housing prices and business investments influenced by the dynamics of housing prices in the macroeconomic. The results also indicate that the inclusion of housing prices as a collateral could be a factor in increasing the asset value of firms and, consequently, borrowings and future investments that lead to a move between housing prices and Investment and economic fluctuations in the country.
Hojjat Izadkhasti, Ali Akbar Arab Mazar, Amin Jalali,
Volume 10, Issue 37 (10-2019)
Abstract
Speculative demand in the land and housing market has a fundamental role in raising the price of land and housing and causing a diversion and invasion of the housing sector with the aim of profit. The government, by imposing a tax on rent of land and housing return, seeks to control speculation, allocate the land resources and urban housing and make money to build the urban infrastructure. In this study, optimal taxation on the return of housing capital is analyzed in the framework of a dynamic optimization model in Iran. Then, the calibration and sensitivity analysis of the macro variables was done to change the tax rate on housing capital return. Finally, using the GAMS software, the optimal path of macro variables was simulated in different scenarios during the period (2016-2040). In steady state, the results of the sensitivity analysis of macro variables indicate that by increasing the tax rate on the return of housing capital from zero to 25%, and decreasing the tax rate on the return of business capital from 25% to zero, increased the level of business capital per capita, production per capita and consumption per capita by 50.62%, 13.47% and 25.27% respectively, and decreased the level of housing capital per capita by 31.5%. Also, the results of the simulation indicate that the imposing tax on the return of housing capital at a rate of 4% compared to the current state of the economy, has led to upward the optimal path of business capital per capita, production per capita and business capital per capita and gone down housing capital in the long run during the transition period.
Naser Yarmohamadian, Bahar Salarvand,
Volume 11, Issue 41 (10-2020)
Abstract
Some unique characteristics of housing goods such as spatial dependency, heterogeneity and durability make housing market analysis different from ordinary goods. However principles in ordinary goods market such as profit maximization are used by developer in housing market. one of the housing market characteristic is that land as a most important input for housing services production has low demand elasticity because of its scarcity. This always makes housing services developer in housing market to substitute capital (construction materials) instead of land. In economics, for demonstrating this kind of substitution, elasticity of substitution is used. Since land has a local market and the intensity of scarcity in cities is different so there are different numbers for elasticity of substitution in different cities and regions. This paper is trying for estimating elasticity of substitution n a median city by gathering data survey. The results show elasticity of substitution between land and capital in housing services production in city of Dorud is 1/04 percent in 2018.
Hojjat Izadkhasti, Abbas Arab Mazar, Mahboubeh Refahi,
Volume 12, Issue 45 (11-2021)
Abstract
Rental housing has been affected by housing prices in different periods and the growth of housing prices has reduced the purchasing power of housing applicants and increased the percentage of rented households. Therefore, any recession and boom in the housing sector has a direct impact on the housing rental market, and planning to control the rental market will not be achieved without considering the housing market. In this regard, the purpose of this study is to investigate the factors affecting housing rent based on two groups included large, small and medium cities in Iran using the Generalized moment method (GMM) in the period (2008-2018). The results show that housing rental prices in the previous period, housing prices, land leverage and real per capita income of urban households had the most positive impact on housing rents in both large and small and medium cities. Also, the impact of housing prices and rental prices in the previous period has been greater in large cities. Also, Housing bank facilities, the number of urban marriages and the real interest rate were other variables affecting the rental price of housing in urban areas.
