Abstract:This paper explores the plausible variables that influence choices in the Chongju housing market. A joint model of tenure and dwelling type is estimated within the multinomial logit framework. The logit model of housing choice is fitted to the whole sample and to two sub-samples, which are categorised on the basis of neighbourhood quality. The empirical results do not exhibit a uniform pattern over the three sample cases. In the case of the whole sample, housing choice is influenced by the age, educational lev… Show more
“…Most of these studies relied on the workhorse of MNL models when it comes to estimating the joint choice of tenure and dwelling type/ location, without careful consideration of the error structure as to whether assumptions on the distribution of error terms were satisfied. Examples were Cho (1997) and Skaburskis (1999) who both investigated the joint choice of dwelling and tenure type. Although the rationale for the use of a genuine NL model was explicitly recognised by Cho and Skaburskis, they used MNL models due to the limitation of employed software and estimation technique at the time.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Numerous studies have focused on two dimensions of housing choice, with the most common being tenure choice (Cho, 1997;Rapaport, 1997;Skaburskis, 1999;Tu and Goldfinch, 1996). Most of these studies relied on the workhorse of MNL models when it comes to estimating the joint choice of tenure and dwelling type/ location, without careful consideration of the error structure as to whether assumptions on the distribution of error terms were satisfied.…”
“…(1) In general, dwelling type and size are strongly associated with demographic attributes. Studies on housing demand found that the aged, householders who are professionals, and households with school-age children are not inclined to choose rented apartment housing 34) and that an increase in household size, age, or income is associated with demand for larger dwellings. 35) However, this trend is not uniform across the city.…”
A wide variety of microdata offer great potential for the advancement of small area demographic estimation. This study proposes a method to estimate residents' attributes at the street block level using survey microdata and spatial microdata (GIS building data), demonstrating the method in a Tokyo ward area. The proposed method is shown to be superior to alternatives using limited microdata. This method includes (1) modeling housing composition for each block based on dwelling unit information from spatial microdata, (2) establishing the statistical relationship between housing and demographic attributes through a small area cross tabulation technique using survey microdata, and (3) allocating demographic attributes to street blocks based on this small area-specific relationship. Housing composition is defined by building type and dwelling size and is constrained by small area totals of the census. The Tokyo ward area contains high-density built-up districts and is characterized by vertical population extension and resident diversity. In spite of this complex residential structure, the accuracy assessment indicates that the proposed method performs well and presents a more accurate estimation than any other methods using limited microdata. This finding stresses the effectiveness of combining different types of microdata, which not only allows spatial refinement but also reflects neighborhood heterogeneity of the relationship between housing and demography.
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