Effects of government policies on residential mobility in Japan: Income tax deduction system and the Rental Act

Seko, Miki; Sumita, Kazuto

doi:10.1016/j.jhe.2007.06.001

Cited by 26 publications

(10 citation statements)

References 14 publications

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“…According to the 2000 Census, 15.5 percent of households moved to their current residence within a year. This is much higher than 5 percent of annual residential mobility in Europe (David, Janiak, and Wasmer, ) and 5 percent in Japan (Seko and Sumita, ) for a similar time period. The 2000 Census further indicates that American households are more likely to stay in certain neighborhoods than in others.…”

Section: Introductionmentioning

confidence: 77%

Why Do Renters Stay in or Leave Certain Neighborhoods? The Role of Neighborhood Characteristics, Housing Tenure Transitions, and Race

Lee

2014

Journal of Regional Science

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ABSTRACT. Given significant variation in population turnover and stability across neighborhoods, this study examines why renters stay in or leave certain neighborhoods. It is the first to analyze how neighborhood characteristics influence renters' decisions to move within the neighborhood as well as how these decisions are interrelated with their housing tenure transitions and race. Results demonstrate that homeownership rates have a significant, positive association with the probability that renters stay and/or purchase homes in the current neighborhood. Both the tenure composition of the housing stock and higher neighborhood satisfaction appear to be central in understanding this association. Results also suggest that nonblack renters are more likely to leave neighborhoods that experience growth in the percentage of the black population, while blacks are more likely to stay and purchase homes within such neighborhoods.

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Section: Introductionmentioning

confidence: 77%

Why Do Renters Stay in or Leave Certain Neighborhoods? The Role of Neighborhood Characteristics, Housing Tenure Transitions, and Race

Lee

2014

Journal of Regional Science

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“…Based on this finding, they applied the Weibull distribution for the baseline hazard in their succeeding vehicle holding duration studies (Yamamoto et 1999; Yamamoto and Kitamura, 2000). The Weibull distribution has also been commonly employed in residential and employment mobility studies (Henley, 1998;Seko and Sumita, 2007). Adopting the same distributional assumption in this study, the proportional hazard can be formulated as:…”

Section: Methodology and Formulationmentioning

confidence: 98%

A dynamic hazard-based system of equations of vehicle ownership with endogenous long-term decision factors incorporating group decision making

Rashidi

Mohammadian

2011

Journal of Transport Geography

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a b s t r a c tThe transportation system affects all aspects of our daily lives including relatively long-term decisions on work and home location choice and automobile ownership decisions. The interdependency existing among these three decisions jointly influences household mobility and overall travel patterns. Therefore, a dynamic modeling framework that can account for the effects of interdependencies between vehicle transaction behavior and residential and job location choices is highly desirable. These decisions are made in the household level while individuals' decisions influence the overall outcome; therefore, it is also important to incorporate a group decision making process within such modeling frameworks.This study introduces a dynamic model for vehicle ownership, residential mobility, and employment relocation timing decisions. These decisions are modeled at the individual level and then sequentially aggregated to the household level if it is required. A hazard-based system of equations is formulated and applied in which work location and residential location changes are included as endogenous variables in the vehicle transaction model while other important factors such as land-use and built environment variables, household dynamics, and individuals' socio-demographics are also considered.

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“…Although the respondents were restricted to the 20-69 age group at the time of the first survey in early 2004, all other demographic characteristics are representative of Japanese households. There are several studies using KHPS such as Seko and Sumita (2007b) and Naoi (2007).…”

Section: Appendix: Explanation Of Khpsmentioning

confidence: 99%

Earthquakes and the Quality of Life in Japan

Naoi

Sumita

Seko

2007

Journal of Property Research

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Japan is famous for its earthquakes. How do households and firms respond to this potentially devastating risk? How does earthquake risk affect housing costs and wages? To answer these questions, we construct a Quality of Life Index (QOLI) and estimate the social cost of earthquake risk among cities/counties in Japan. The regional QOLI is obtained through estimating the hedonic wage and housing rent regressions using household longitudinal data covering all Japan. From the estimated results, we find that earthquake risk has a significant impact on the overall quality of life in Japanese prefectures, and that there are large city/county differences in terms of the social cost of earthquake risk. Finally, we argue that the large regional variation in the social cost of earthquakes arises from earthquake insurance market imperfections -crude and rough geographical risk rating -and propose a possible remedy for enhancing earthquake insurance risk assessment.

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Effects of government policies on residential mobility in Japan: Income tax deduction system and the Rental Act

Cited by 26 publications

References 14 publications

Why Do Renters Stay in or Leave Certain Neighborhoods? The Role of Neighborhood Characteristics, Housing Tenure Transitions, and Race

Why Do Renters Stay in or Leave Certain Neighborhoods? The Role of Neighborhood Characteristics, Housing Tenure Transitions, and Race

A dynamic hazard-based system of equations of vehicle ownership with endogenous long-term decision factors incorporating group decision making

Earthquakes and the Quality of Life in Japan

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