List of Articles قیمت مسکن

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  1 - مکانیزمی ‌برای انتقال نرخ سود، تسهیلات رهنی و مصرف خانوارها در اقتصاد ایران
  اسداله الوندی زاده عباس امینی فرد هاشم زارع مهرزاد ابراهیمی
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  2 - Analysis of quantitative and economic indicators of housing and forecasting of population structure, housing prices and houses required till 1410 in Tehran
  javad mahdianpoor hamidreza saremi
  Introduction and Objectiv: the quality of the urban housing indicators is one of the indicators of the socio - economic development in the countries of the world.in developing countries, including Iran housing supply is one of the Acute issues, are due to the presence o More

  Introduction and Objectiv: the quality of the urban housing indicators is one of the indicators of the socio - economic development in the countries of the world.in developing countries, including Iran housing supply is one of the Acute issues, are due to the presence of the defects in the planning of Housing and also increase urbanization rapidly. Over the decades, the changes in the city of Tehran have made it important for housing planning. The purpose of this article is to analyze Indicators of the quantitative and economic housing. Method: The method used in this research is based on objective, applied and based on data collection, descriptive and analytical - quantitative. The library and documentation method were used to collect information. Finally, the prediction of population structure (exponential method), housing needs (aggregation and index methods) and housing prices (Arima method) have been addressed in three minimum, average and maximum scenarios. Findings:The research findings indicate that the population of Tehran will reach from 8537000 to 9734000 by 1410 And will require 2863,000 to 3534,000 residential units. It is also expected that the average price per square meter of housing will reach 6.4 to 6.8 million tomans. Conclusion:Housing Analysis in Tehran shows that quantitative indicators of housing have improved and economic indicators of housing have declined. And for the future of Tehran, a scenario with at least population growth and the scenario of maximum housing prices seems more likely.   Manuscript profile
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  3 - Assessing the effective factors on housing price through Hedonic price estimation method (case study of Narmak)
  هادی رضایی راد مجتبی رفیعیان محمدرضا بمانیان
  Introduction: Housing and its problems is one of the most important concerns of Iran's metropolitans. Residential and commercial land price is one of the economical factors affecting development of each region. It is axiomatic that residential units price is one of the More

  Introduction: Housing and its problems is one of the most important concerns of Iran's metropolitans. Residential and commercial land price is one of the economical factors affecting development of each region. It is axiomatic that residential units price is one of the most important influential factors on their demand & supply. Thus assessing the effective factors on land price is very important. Narmak region approximately fallows the real estate-land market regulation in Tehran. The unique attribute of this neighborhood is its unified characteristic caused by its small squares.  Unified residency quality has caused to sameness of land and real estate price through the whole Narmak region which consequently leaded to equal absorption of investment across this region. Thus there is no high raised construction in this neighborhood. In this research we tried to assess the extent to which these factors are affecting the housing price in Narmak through Hedonic housing price estimation Method: Methodology of research is descriptive- analytical, and the method is OLS method and Lin-Lin function. Finding: Among effective factors on price, factors of  population density; even-odd traffic policy; building age; and average units area had negative effect, and number of floors; residential and  commercial units had the positive effect. Results : The coefficients of these factors are as bellow: Coefficient of floor is 37.25 commercial units 0.44, residential units 0.22, population are 0.2, traffic policy is 32.17, age is 1.17, and unit's average area is 0.13. Manuscript profile
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  4 - Spatial Analysis of Factors Influencing the Increase in Housing Prices in Tabriz Using Correlation and Regression Model
  Shahrivar Rosraei Mohammad Reza Pour Mohammadi farzane darvish
  Introduction and Objective:  Price is the most important variable in the land and housing sector, which is responsible for providing economic resources, informing and providing the necessary signals to investors. The analysis of spatial performance of the housing m More

  Introduction and Objective:  Price is the most important variable in the land and housing sector, which is responsible for providing economic resources, informing and providing the necessary signals to investors. The analysis of spatial performance of the housing market is very important for the study of the city's social well-being. This study aimed to investigate the variables influencing the housing prices in two residential units, villas and apartments based on the literature and empirical studies in Tabriz were studied. These variables include four variable Socio - economic, physical, environmental and variable access housing units Were measured in all urban areas,s tabriz. research method: The variable data through questionnaires from households and housing prices is based on authentic and real estate agents. To analyze the relationship between the variables discussed as independent variables and housing prices as the dependent variable was used the Pearson correlation and regression model. Foun: According to the results of Pearson correlation test, there is a positive and significant relationship between independent and dependent variables. The results of the regression model show that the four variables have a direct and significant effect on the increase in housing prices in residential units and apartment buildings. In the villa oasis, the variables of access to residential units and socio-economic factors of the household and in apartment units, environmental variables (neighborhood) and access to housing alone have an impact on the rise in housing prices. Result: The results of this research show that in total villa and apartment units, the variable quality of the facade of the building, the area of the infrastructure, the number of rooms in the residential unit and the land area have had the greatest impact on the rise in housing prices in the metropolis of Tabriz. Manuscript profile
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  5 - Proposing a novel model based on ARIMA technique for forecasting housing price: a case study of Tehran
  Hosseyn Mombeyni Morteza Hashempoor Shahla Roshandel
  Determination and prediction of housing price in urban areas plays a significant role for governments, public and private enterprises, and financial evaluators. An accurate estimation of the housing price can be employed for future planning and decision making in many u More

  Determination and prediction of housing price in urban areas plays a significant role for governments, public and private enterprises, and financial evaluators. An accurate estimation of the housing price can be employed for future planning and decision making in many urban and regional policies. However, the growth of the housing sector has a profound impact on gross national product, resulting in a significant increase in employment. On the other hand, an increase in loan for purchasing house leads to a rise in liquidity and inflation rate. This means that the gap between the income and housing price is increased. Therefore, it is necessary to develop new models for making decisions in order to prevent the increase in the inflation rate and housing price. According to the key importance of housing price, a number of models have been developed to formulate the price behavior with regard to its effective components. In this study, a novel model based on the ARIMA method for forecasting and formulating the housing price has been developed. The results show that the model proposed has a high potential (with a determination coefficient of 99.7%) to foresee the housing prices in the city of Tehran. Manuscript profile
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  6 - Analysis of housing commoditization in Iran's housing market
  Abolfazl meshkini Mohammad Reza orogi Somayeh Alipour
  10.30495/juepd.2023.1978626.1137
  Housing is considered the most important asset of the household and it is a basic and irreplaceable commodity that, due to its price, accounts for a significant share of the household's income, and its owners, in order not to accept higher risks in other financial marke More

  Housing is considered the most important asset of the household and it is a basic and irreplaceable commodity that, due to its price, accounts for a significant share of the household's income, and its owners, in order not to accept higher risks in other financial markets, They take care of it. Therefore, housing is considered a consumable and a capital item that cannot be removed from the budget of households. Turning housing into a capital good instead of a consumer good is one of the problems in the field of housing at the moment, which brings to mind the question, why has housing become a capital good in Iran? The answer to this question is the main goal pursued in this article. In order to answer this question, the study of documents is the basis, and by analyzing and describing the available materials, regarding the commodification of housing in Iran, as the statistical community of the research, it has been investigated. Since the housing price and most of the considered variables are endogenous, therefore, in this research, the vector self-explanatory model (VAR) has been used. Surveys show that; The matrix of correlation coefficients between the variables is positive, but it has a negative relationship with the exchange rate and the bank interest rate, and the highest correlation coefficient with the housing price is the gross domestic product. Also, the cause and effect relationship between the variables shows that housing prices have a mutual cause and effect relationship with stock variables (S), bank interest rate (R), sector credits function (CRE) and gross domestic product function (GDP) and with rate variables. Currency (EX) and coin price (G) do not have a clear cause and effect relationship, and they also have a one-way relationship with the variables of construction cost (C), liquidity volume (M) and inflation rate (INF), which shows that the investigated variables They affect the price of housing and its transformation into a capital good, and by managing each of these indicators, housing can be turned into a consumer good. Manuscript profile
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  7 - The role of productivity of total factor inputs in buihding domain in Iran and Azerbaijan countries
  hossein parham Mohabat Mohammadoof
  The constant importance of assets market necessitates continual investigation of housing and real estate market. Economical fluctuations variables in different sections in particular in assets market are a common phenomenon in most of the countries. Economy may once rea More

  The constant importance of assets market necessitates continual investigation of housing and real estate market. Economical fluctuations variables in different sections in particular in assets market are a common phenomenon in most of the countries. Economy may once reach the highest point and yet the lowest in another. One of the most important parts of assets is housing estate. This study is about to investigate the effect of total factor inputs productivity on building construction price index in Iran and Azerbaijan countries in a span of time between 1998-2014 based on quarterly measures. To assess the effects of the variables auto regression distributed lag method was used. The results indicated that, total factor inputs on building construction price index in the short and long run has positive impact on the field of building price index in both Iran and Azerbaijan countries. The credit facilities granted by the banking system, total housing production costs, inflation and urbanity acted as control variables had significant and positive impact on the housing price in both of countries. Which were entered into the model as control variables, have had significant and positive impact on the housing price in such countries. Manuscript profile
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  8 - Factors Affecting the Prices of Housing)A Case Study of Rasht(
  zahra shabanpoor asghar shokrgozar maryam jafarimehrabi
  The correct analysis of the housing market and a true understanding of the factors affecting housing, especially for its price and the effectiveness of each of them, The planners and the authorities to analyze and forecast the future status and accordingly provide appro More

  The correct analysis of the housing market and a true understanding of the factors affecting housing, especially for its price and the effectiveness of each of them, The planners and the authorities to analyze and forecast the future status and accordingly provide appropriate solutions. This study aimed to investigate the factors affecting housing prices in the city of Rasht (2005-2014) years has been conducted. The method in this research is descriptive-analytical, Data is collected using documentary and survey. According to the results of T-test, the factors of the number of completed buildings and socio-economic characteristics have a great influence on the house price. Factors of land prices, inflation, municipal costs, construction services prices, geographic location, income,having title deeds for residential units, and extent of residential units have little impact on housing prices and, factor of access to services has moderate impact. According to the results of Fridman Test the factors affecting housing price in Rasht that have the high ranks are socio-economic characteristics factors (9.77), number of completed buildings (9.76), and access to urban services (9.36). Other findings have indicated that districts 1 and 3 of Rasht have had the highest fluctuations in housing prices during 2005-2014. Manuscript profile
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  9 - Study the Effect of Public Transportation Expansion on Housing Price Using the Hedonic Model (A Case Study of Kermanshah)
  Marjan movahed Hojat Sheikhi
  Land and housing prices are subject to various factors and conditions. Therefore, prices are different in different times and places. In other words, at the level of a city, land and housing prices are different from one region to another based on local and socio-econom More

  Land and housing prices are subject to various factors and conditions. Therefore, prices are different in different times and places. In other words, at the level of a city, land and housing prices are different from one region to another based on local and socio-economic characteristics. The change in prices is one of the most visible economic reflections of intervention in physical tissue of the cities. Public transport is one of the essential services of today’s cities and ensuring that it is delivered efficiently and effectively is one of the priorities of many cities. The purpose of the present research is to study the effect of expansion of public transport on housing price using Hedonic model in the neighborhoods of Kasra, 22 Bahman and Towns of Maskan and Moallem in Kermanshah. This research is applied in which correlation method and Hedonic function were used. The effects of independent variable and dependent variables were evaluated using field studies. Thirteen variables were used of which physical condition, situation and access can be mentioned. Eviews and SPSS software were used to analyze the data and estimate the model. The obtained results showed that the coefficients of all the understudy variables were statistically meaningful. Since the p-value for all variables was less than 0.05, so there is a meaningful relationship between the price of residential units and the studied variables. Manuscript profile
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  10 - A Study of the Bidirectional Relationship between House Prices and Rental Prices in Iran: A Bootstrap Approach using Quantile Regression with MCMB-A Method
  roya aleemran seyed ali aleemran
  The objective of this research is to examine the bidirectional relationship between house prices and house rental prices in Iran from the first quarter of 2002 to the fourth quarter of 2019. Granger causality tests and the bootstrap approach of quantile regression, spec More

  The objective of this research is to examine the bidirectional relationship between house prices and house rental prices in Iran from the first quarter of 2002 to the fourth quarter of 2019. Granger causality tests and the bootstrap approach of quantile regression, specifically employing the MCMB-A Method, are utilized for the investigation. The results of the Granger causality test indicate a two-way causal relationship between house prices and house rental prices. The bootstrap method of quantile regression reveals that, across all deciles, house rental prices exert a significant positive impact on house prices. Notably, the coefficient of house rental prices exhibits an increasing trend from the first to the sixth decile, reaching its maximum value in the sixth decile, and subsequently decreasing from the seventh to the ninth decile. Additionally, across all deciles, house prices demonstrate a significant positive impact on house rental prices. Throughout the deciles, the coefficient of house prices experiences a decreasing trend from the first to the fourth decile, reaching its lowest value in the fourth decile, followed by an increasing trend from the fifth decile to the ninth decile, reaching its maximum value in the ninth decile. Manuscript profile
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  11 - Analysis and Estimation of Housing Prices in Tabriz
  Parviz Mohammadzadeh Masood Mansouri Babak koohi leilan
  The main objective of this study is to identify the factors affecting the prices of housing by the use of Spatial Econometrics approach in Tabriz. To achieve the end, four physical, environmental, availability and spatial factors will be considered. Indeed, by determini More

  The main objective of this study is to identify the factors affecting the prices of housing by the use of Spatial Econometrics approach in Tabriz. To achieve the end, four physical, environmental, availability and spatial factors will be considered. Indeed, by determining the factors affecting the function of housing price based on a hedonic approach, spatial econometric can explain them in a spatial dependence frame. By using the cross-sectional data collected in 2010 from 757 families living in Tabriz prepared by Statistical Center of Iran, the software such as Geoda and GIS and Tabriz statistical maps, a model will be estimated for the effectiveness of home prices. The results indicate that there is a spatial dependence in the price of housing units in eight districts of the Tabriz city. The heating and cooling systems, exterior, structure type and the availability of street and security are the most effective elements in housing price. Manuscript profile
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  12 - Analyzing the Determinants of Housing Prices in Tehran City
  mirhosein mousavi hosein doroodian
  Abstract In this paper, the factors affecting house prices have been studied in Tehran during 1991-2007. After combining the parameters and variables, land prices, construction costs, interest rates, per capita residential buildings completed, money supply and the retu More

  Abstract In this paper, the factors affecting house prices have been studied in Tehran during 1991-2007. After combining the parameters and variables, land prices, construction costs, interest rates, per capita residential buildings completed, money supply and the returns in alternative markets are considered as theoretical determinants of housing prices, in which their effects should be tested and measured. Besides these factors, a component of unobserved or implicit trend including technical performance, preferences and non-economic factors is considered in the model. In order to estimate the model, a structural time series is used. This model has the capability to specify the regression equation of state - space and Kalman filter algorithm and the maximum likelihood method to estimate unknown parameters. The results have reflected the negative impact of real interest rates, returns on alternative assets such as gold, foreign exchange, equities, per capita residential buildings completed and the positive impact of construction costs. But, M2 is weak and insignificant. Strong relationship between land prices and housing prices identified seem to bo a simultaneous movement of two variable rather than a causal relationship.   Manuscript profile
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  13 - Recognizing the Periods of Developing and Collapsing Multi-Price Bubbles in Housing Market: Case Study of Tehran City
  Roozbeh Baloonejad noori hamzeh safari
  Abstract The purpose of this study is to investigate the development and collapse of price bubbles of housing market in Tehran by the data of housing rents, land price during 1995:Q1-2014:Q1. Based on the critiques to the common methods of evaluating the price bubbles More

  Abstract The purpose of this study is to investigate the development and collapse of price bubbles of housing market in Tehran by the data of housing rents, land price during 1995:Q1-2014:Q1. Based on the critiques to the common methods of evaluating the price bubbles and the possibility of happening more than one bubble in the time period under consideration, in this study, Generalized Supremum Augmented Dickey–Fuller is used. By this method, it is possible to determine the development and collapse periods of price bubble in addition to test multiple bubbles,. The results represent that in the period under review, the ratio of price - rent as an indicator of return on assets, has no rational price bubbles. However, by the abruptly and explosively changing in defining the price, there will be a price bubble in housing during 3 periods including 2001:Q1- 2002:Q1, 2004:Q1- 2004:Q2, 2006:Q2- 2007:Q2 and 2006:Q2-2007:Q2 and so in land real prices during 3 periods including 2000:Q2-2001:Q2, 2006:Q2-2007:Q2 and 2012: Q1-2013:Q2.  Manuscript profile
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  14 - Social Housing Design with Energy Optimization Approuch in Tehran
  maryam sadegh abarkoh Avideh Talaei mohammad hadi kaboli
  Providing housing for low-income groups is one of the problems for governments. Low-income households spend much of their annual income on housing, so it is imperative for every government to provide housing for the welfare of society. The importance of social housing i More

  Providing housing for low-income groups is one of the problems for governments. Low-income households spend much of their annual income on housing, so it is imperative for every government to provide housing for the welfare of society. The importance of social housing is due to the provision of adequate housing for the lower deciles and the adjustment of its important challenges due to limited energy resources and increased demand. The building sector is one of the largest energy consumers in the world, especially in Iran. Proper housing design avoids energy waste. Therefore, social housing design with the approach of optimal energy consumption as macroeconomic and social policy is considered in this study. If Iran continues the same process in energy production, transmission, distribution and consumption, it will pose a serious threat to the economy. The overall goals include reducing the share of housing in the living cost basket and optimizing energy use in social housing. The research method is analytical, field and simulation of the proposed model in Tehran, while maintaining affordable prices, respond to the housing demand by optimizing energy consumption. Initially, social housing was designed in accordance with design standards and based on cost, optimization of energy-efficient parameters such as form, orientation, neighborhood, details of building components, etc. and finally it was shown that the proposed scheme was more desirable than the existing one. The obtained results are providing solutions with economic justification of social housing plan by optimizing energy consumption. Manuscript profile
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  15 - بررسی همگرایی بلند مدت قیمت مسکن در مناطق شهر تهران
  فرهاد دژپسند لادن محتوی
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  16 - Analysing the Impacts of Fiscal Policy on Assets Price in Iran; An Augmented Time Varying Parameter- Vector Autoregression Approach
  Maryam Rohani Mahmoud Houshmand Mohammad taher Ahmadi Shadmehri
  If the asset market is information-efficient and people behave rational, asset prices reflect available information about expected events. On the other hand, choosing the right policy is important in economic stability.Since traditional models have failed to identify co More

  If the asset market is information-efficient and people behave rational, asset prices reflect available information about expected events. On the other hand, choosing the right policy is important in economic stability.Since traditional models have failed to identify correct and appropriate policies, using time varying methods, can select the policy according to the current situation.Based on Bayesian averaging method, the variable total government expenditures was determined as the most fragile variable affecting the asset prices. so, in the TVP-FAVAR model, the effect of this variable on the price of each asset in different time periods in MATLAB has been investigated.According to the results, expansionary fiscal policy, in the long run, has had a positive effect on the price of each asset. This effect on the exchange rate variable has intensified in recent years. It should be noted that based on the results in recent years, fiscal policy has had a negative impact on housing prices and the stock market and has reduced the price of these assets. Also, the fiscal policy shock in short run, on the stock market, in medium term, on the housing index and in long run, has the highest impact on the exchange rate. Manuscript profile
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  17 - Effects of Monetary Policy on Gross Development Product and Inflation through House Price Index in Iran
  H. Sharifi-Renani S. Ghobadi F. Amrollahi N. Honarvar
  The purpose of this research was to analyze the effect of monetary policy on gross domestic product and inflation via house price index as a proxy for other assets in Iran in 1989-2008. For the analysis time series data and vector error correlation method were used. The More

  The purpose of this research was to analyze the effect of monetary policy on gross domestic product and inflation via house price index as a proxy for other assets in Iran in 1989-2008. For the analysis time series data and vector error correlation method were used. The results showed that in the pattern 1 the positive monetary shocks in the short run increased the product and decreased the prices but, in the long run it decreased the product and increased the prices. The debt shocks of the banks to the central bank in the short run had little effect on the product and the prices. In the intermediate run these shocks had decreased the product and increased the prices. And in the long run it increased the product and decreased the prices. In pattern 2 positive shock of the legal deposits ratio leads to decrease in the production and increase in the inflation in the short, intermediate and the long run, through the banking lending. Results shoed also that money policy instruments (banks loan to the central bank and the rate of legal deposits) had a little effect on the granted facilities of the banks. Manuscript profile