| dc.description.abstract | In order to understand the factors that affect buying and renting a house in Taiwanese society, as well as the characteristics of households that own or rent a house, this study used the 1976-2021 Household Income and Expenditure Survey of Directorate-General of Budget, Accounting and Statistics (DGBAS), and compiled original data. It also analyzes variables related to family residence ownership over the years, such as family structure, family disposable income, characteristics of the head of household, work location of the head of household, etc., and uses historical data spanning 46 years to understand how Taiwanese people make decisions about residence ownership. The choice is made, and the odds ratio estimate is obtained through Logistic model regression, providing readers with a quantifiable reference point. For example, how much a family′s disposable income increases, how much the probability of owning a house will increase.
There are four types of housing: self-owned, rented, refers to residential buildings allocated by service units, and others. Since refers to residential buildings allocated by service units and other have only accounted for 6.8% of the total over the years, this study will focus on the two types of housing, self-owned and rented.
The family structure has undergone tremendous changes over the past 46 years. Nowadays, nuclear families, couple families and single-person families are the main ones. Although three generations living under the same roof are not the majority of today′s family structures, data over the years show that houses are self-contained that the probability of owning a house is very high.
Household disposable income: This study uses the median as a benchmark to define the top 50% as wealthy households and the bottom 50% as households without money. Regardless of whether there is money or not, the self-owned portion of the house is very high .
In addition, this study considers that if the household head’s workplace is in the city and the burden is greater, it may affect the household head’s choice of owning or renting a house. Therefore, the variable of workplace is also added to the analysis. The regression results also show that people whose workplace is in the city have a lower chance of owning a house than those who work in non-urban areas.
Finally, a descriptive statistical analysis of the floor space and actual paid and imputed rent was added, which shows that the average floor space of self-owned houses is generally larger than that of rented houses, and those with money and houses have the largest floor space . People who have money but don’t own a house (rent a house) have a higher average annual rent per square meter.People who have no money and no house (rent a house) have the smallest living area. People who don’t have money and own a house live in a square meter second only to those who have money and a house, but the average annual rent per square meter is the smallest. | en_US |