文章基本信息

标题：An Analysis of Relationship between Macroeconomic Variables and Metropolitan Housing Market in Iran in the Framework of a Dynamic Panel Data Model
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作者：Masoud Sadeghi ; Shahram Moeeni ; Sara Mardiha 等
期刊名称：Economics and Finance Review
电子版ISSN：2047-0401
出版年度：2012
卷号：2
期号：2
页码：10-20
出版社：Global Research Society
摘要：Considerable portion of housing sector from gross domestic product indicates relationship between housing sector and macroeconomics. This paper focuses on consumption demand of housing and variables that can affect it and represents a theoretical framework for changes of housing prices regarding variables such as income per capita, liquidity and land per capita, the present paper studies effectiveness manner of these variables on housing prices in metropolitans in Iran. The relationship among housing sector and above variables is evaluated in this paper using a dynamic panel data model and data of three cities of Tehran, Isfahan and Mashhad. Finally, it has been shown that changes of (urban) income per capita and liquidity can affect metropolitan housing prices by applying one-phase systematic Arellano-Bond GMM method in model estimation. Moreover, land supply limitation and decreasing process of urban land per capita in the selected metropolises have been effective on increasing process of urban housing prices given to population changes
关键词：metropolis; Urban Growth Boundary (UGB); non-tradable goods; liquidity; General Method of ;Moments (GMM) technique; GNP per capita; land per capita