The estimation of residential Demand with Hedonic Model (Case study of Ghaemshahr city)

Subject Areas : Applied Economics

احمد جعفری صمیمی ¹ , شهریار زروکی ² , حسین اعتصامی ³

1 - مسئول مکاتبات
2 - ندارد
3 - ندارد

Received: 2010-05-22 Accepted : 2010-11-16 Published : 2010-09-23

Keywords: Demanding for House, Hedonic Method and Ghaemshahr,

Abstract :

Heterogeneous commodity residential units that has several dimensions, and is characteristic. Demand for residential units with regard to each dimension and its features can be ranked. This study using Hedonic method, each value specifies attributes.      Hedonic model in this study using a cross-sectional data in 1387 as a field in which the city has been collecting Ghaemshahr and the place features, and physical environment of residential units has been estimated. Based on the results, the most important factors affecting the value of the land area of residential units. Under the surface, number of bedrooms, distance from residential units downtown, the distance from the main street of residential units, residential unit distance from the park and green space is. The demand functions for each of the specifications in terms of household income, age and number of people in households headed households, respectively. The results show that, for the income elasticity for all parameters is smaller than a interactively highest and lowest income elasticity related to the level of infrastructure is the number of bedrooms. Traction coefficient of land area, below the level and number of bedrooms than the number of people in the household is positive and significant, and this proves that if the number of people in a household will increase the demand for residential units with an area of land, infrastructure and level Number of bedrooms above goes further. The surface tension coefficient of infrastructure and the number of bedrooms than age households is positive and significant, and indicate that whatever age households exceeds his desire to have more residential units with an area above ground level and the number of building more rooms Sleep is more.