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Erschienen in: The Journal of Real Estate Finance and Economics 3/2021

06.02.2020

Life Cycles and Gender in Residential Mobility Decisions

verfasst von: Jun Nagayasu

Erschienen in: The Journal of Real Estate Finance and Economics | Ausgabe 3/2021

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Abstract

Using household survey data from the recent economically depressed period, we attempt to identify typical household characteristics by residential type and study whether households change their residence at different stages of life. We find that the general trend in residential choice is influenced by socioeconomic background. The results of a multinomial probit estimation highlight that the probability of homeownership is higher in rural areas and increases with age of household heads, financial wealth, and family size. In contrast, the probability of renting a house is higher in urban areas and among female households. Moreover, it is observed that people adjust residential size despite market imperfections. The dwelling size increases with age of household heads and declines once they reach retirement age; however, the residential mobility is low at older ages. Furthermore, there are gender differences in terms of attitudes toward downsizing residences; female households are more willing to accept downsizing than are male households.

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Fußnoten
1
In 2015, people more than 60 years old accounted for 33.1 percent of Japan’s population, and this figure was the highest in the world, followed by Italy (28.6 percent) and Germany (27.6 percent).
 
2
This is due to lack of price data by residential type.
 
3
Yaari (1965) proposed a mathematical framework that considered consumers’ lifetime allocation with the uncertainty of survival.
 
4
Owing to the regulation set by the data provider (the Ministry of Internal Affairs and Communications), the confidential data used in this study cannot be passed on to the third party, but are available for purchase from the provider.
 
5
The consumption tax (VAT) was increased from 3 to 5 percent in 1997.
 
6
Architectural areas are synonymous with floor space and dwelling size, which are also commonly used previously. Due to unavailability of detailed information in our dataset, renovations are considered as changing residences here only if dwelling size changes.
 
7
However, the IIA is found to be particularly not restrictive in many applications ((Dow and Endersby 2004).
 
8
Also see Appendix A for further explanations.
 
9
Seko and Sumita (2007b) used dummies to identify gender, occupation, and college graduation to estimate permanent income and use this income to explain household behavior.
 
10
Takats (2012) reports a significant relationship between demography and house prices in a panel of advanced countries.
 
11
The average age of males and females at the time of first marriage is 29 and 27 years, respectively.
 
12
In case of condominiums, the common area among residents is excluded from the calculation of architectural areas.
 
13
We assume a parallel trend in the control and treatment groups before an intervention event like retirement. This assumption is reasonable because all households live in the same (relatively homogeneous) country and period.
 
14
It has been known as Urban Renaissance Agency (Toshi Saisei Kikou) since 2004.
 
15
According to 2010 statistics from the Ministry of Internal Affairs and Communications.
 
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Metadaten
Titel
Life Cycles and Gender in Residential Mobility Decisions
verfasst von
Jun Nagayasu
Publikationsdatum
06.02.2020
Verlag
Springer US
Erschienen in
The Journal of Real Estate Finance and Economics / Ausgabe 3/2021
Print ISSN: 0895-5638
Elektronische ISSN: 1573-045X
DOI
https://doi.org/10.1007/s11146-019-09743-7

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