Price Bubble in the Iranian Housing Market Based on the Structural Model of Housing Price Determination

During two last decades, Iranians have faced with a wide and substantial increase in housing prices, especially in great metropolitans such as Tehran, Mashhad, Isfahan and Shiraz. This easily could be imputed to a high inflation which significantly impeded the access to housing for low and medium in...

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Main Authors: Javad Abedini, Hasan Ebrahimi, Hamed Fahimifard
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2016-06-01
Series:فصلنامه پژوهش‌های اقتصادی ایران
Subjects:
Online Access:https://ijer.atu.ac.ir/article_7240_2e4d1368ef334929bee682c36c48aa9f.pdf
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author Javad Abedini
Hasan Ebrahimi
Hamed Fahimifard
author_facet Javad Abedini
Hasan Ebrahimi
Hamed Fahimifard
author_sort Javad Abedini
collection DOAJ
description During two last decades, Iranians have faced with a wide and substantial increase in housing prices, especially in great metropolitans such as Tehran, Mashhad, Isfahan and Shiraz. This easily could be imputed to a high inflation which significantly impeded the access to housing for low and medium income families. This study uses a structural model to recognize the influential factors of such a rise in housing prices and to show whether there is any price bubble in market. The model consists of both supply and demand side determinants to explain the price changes across Iranian provinces over 1375-1390(2011-1996), in a panel data context. In particular, we use a longer and larger database which also includes more number of influential factors. Some specific features of data such as non-stationarity and cointegration have been also taken into account. Our results show that, in contrast to the common thought, there is no price bubble in the Iranian housing sector. That is, the structural model could well explain the rapid increase in Iranian house prices during the last decade. In particular, we find that the expansionary monetary policies of the government, the land price for urban uses, along with the increase of the real demand for housing are the main reasons of the past inflation in the sector. On the average, one percent increase in the urban land price or liquidity, ceteris paribus, leads to, respectively, 0.375 and 0.5 percent increase in house prices.
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spelling doaj.art-cbfc167657344721846ed30bbb4c6afa2024-01-02T10:29:20ZfasAllameh Tabataba'i University Pressفصلنامه پژوهش‌های اقتصادی ایران1726-07282476-64452016-06-01216718121010.22054/ijer.2016.72407240Price Bubble in the Iranian Housing Market Based on the Structural Model of Housing Price DeterminationJavad Abedini0Hasan Ebrahimi1Hamed Fahimifard2دکترای اقتصاد دانشگاه نانت فرانسهکارشناس ارشد اقتصاد دانشگاه صنعتی شریفدانشجوی دکترای اقتصاد دانشگاه فردوسی مشهدDuring two last decades, Iranians have faced with a wide and substantial increase in housing prices, especially in great metropolitans such as Tehran, Mashhad, Isfahan and Shiraz. This easily could be imputed to a high inflation which significantly impeded the access to housing for low and medium income families. This study uses a structural model to recognize the influential factors of such a rise in housing prices and to show whether there is any price bubble in market. The model consists of both supply and demand side determinants to explain the price changes across Iranian provinces over 1375-1390(2011-1996), in a panel data context. In particular, we use a longer and larger database which also includes more number of influential factors. Some specific features of data such as non-stationarity and cointegration have been also taken into account. Our results show that, in contrast to the common thought, there is no price bubble in the Iranian housing sector. That is, the structural model could well explain the rapid increase in Iranian house prices during the last decade. In particular, we find that the expansionary monetary policies of the government, the land price for urban uses, along with the increase of the real demand for housing are the main reasons of the past inflation in the sector. On the average, one percent increase in the urban land price or liquidity, ceteris paribus, leads to, respectively, 0.375 and 0.5 percent increase in house prices.https://ijer.atu.ac.ir/article_7240_2e4d1368ef334929bee682c36c48aa9f.pdfhousing pricingbubblepresent-value modelpanel datacointegration
spellingShingle Javad Abedini
Hasan Ebrahimi
Hamed Fahimifard
Price Bubble in the Iranian Housing Market Based on the Structural Model of Housing Price Determination
فصلنامه پژوهش‌های اقتصادی ایران
housing pricing
bubble
present-value model
panel data
cointegration
title Price Bubble in the Iranian Housing Market Based on the Structural Model of Housing Price Determination
title_full Price Bubble in the Iranian Housing Market Based on the Structural Model of Housing Price Determination
title_fullStr Price Bubble in the Iranian Housing Market Based on the Structural Model of Housing Price Determination
title_full_unstemmed Price Bubble in the Iranian Housing Market Based on the Structural Model of Housing Price Determination
title_short Price Bubble in the Iranian Housing Market Based on the Structural Model of Housing Price Determination
title_sort price bubble in the iranian housing market based on the structural model of housing price determination
topic housing pricing
bubble
present-value model
panel data
cointegration
url https://ijer.atu.ac.ir/article_7240_2e4d1368ef334929bee682c36c48aa9f.pdf
work_keys_str_mv AT javadabedini pricebubbleintheiranianhousingmarketbasedonthestructuralmodelofhousingpricedetermination
AT hasanebrahimi pricebubbleintheiranianhousingmarketbasedonthestructuralmodelofhousingpricedetermination
AT hamedfahimifard pricebubbleintheiranianhousingmarketbasedonthestructuralmodelofhousingpricedetermination