The Effect of Divorce on Urban Housing Costs in Iran: A Spatial Autocorrelation Model
Esmaiel Abounoori (),
Hossein Abdoh Tabrizi () and
Nooshin Mahmoodi ()
Additional contact information
Hossein Abdoh Tabrizi : Tehran, Iran
Nooshin Mahmoodi : Department of Economics, Semnan University
Journal of Money and Economy, 2017, vol. 12, issue 2, 107-122
In addition to traditional factors, demographic changes also depend on factors such as marriage and divorce. Yet only a few researchers investigated the impact of divorce on housing costs. The aim of this paper is to estimate the effect of divorce on housing costs in Iran. Doing so, we have applied a fixed Panel Spatial Autocorrelation model using the data from a set of Iranian provinces over the period of 2006-2014. The results indicate that a one-percent point rise in divorce increases housing rental index by about 1.05% point directly and indirectly. The outcomes also show that household size has a negative and significant effect, but the per capita gross domestic product and the population have positive and significant effects on the housing rental index. On average, a one-percent point increase in the housing rental index of any provinces will increase the housing rental index in a province by about 0.34 percentage points.
Keywords: Housing; Divorce; Spatial Econometrics; Iran (search for similar items in EconPapers)
JEL-codes: C21 J10 O18 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:mbr:jmonec:v:12:y:2017:i:2:p:107-122
Access Statistics for this article
More articles in Journal of Money and Economy from Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran Contact information at EDIRC.
Bibliographic data for series maintained by Majid Ein. ().