List of Articles قیمت هدانیک

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  1 - Estimation of the Housing DemandFunction for the city of Qom, using the Hedonic Price Pattern
  فرهاد Ghafari طاهره Ovasi
  The objective of this research is to estimate the demand for housingin the city of Qom. We apply the Hedonic price pattern methodology and study household’s preference for various features of residential units. Based on our approach, the value of a residential uni More

  The objective of this research is to estimate the demand for housingin the city of Qom. We apply the Hedonic price pattern methodology and study household’s preference for various features of residential units. Based on our approach, the value of a residential unit is influenced by its own specific as well as environmental characteristics.The data is provided bythe Qom municipality and Statistic Center for the year 2011. Based on the information from 497 households, the results of our study indicate that the specific features of a residential unit, such as the size of land, number of rooms and the quality of material used, are the most determinants of its price. Furthermore, the location and neighborhood features such as the width of the alley in which the house is located, distance from the nearest school, park, and mosque are also significant.JEL Classification: C81,R21 Manuscript profile
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  2 - تخمین تابع تقاضای مسکن با استفاده از روش رگرسیون داده‌های پانل (مطالعه موردی: شهرهای غرب استان مازندران)
  سیدفخرالدین فخرحسینی الهام فاضلی
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  3 - 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