지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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The purpose of this study is to develop an intra-urban empirical model on a micro scale of the predictors of rental housing price in order to expand empirical knowledge of urban housing market.
An empirical study is to be undertaken to determine whether or to what extent blacks(residents in black study-areas) pay more than whites(residents in white study-areas) for rental housing of similar quality in the Borough of Manhattan, New York. The data to be employed are the 1970 United States Census of Population and Housing, Census Tracts. The data are stratified in three sub-samples. One covers the areas in which the population is almost totally white; the second sample examines the areas where blacks are dominant; the third is defined as the mixed-areas where the percentage of blacks is between 15 and 50.
Unlike the "self-segregation" theory, disequilibrium theorists would recognize the role of income differences and the different composition of black households but would stress the importance of racial discrimination in housing markets. These two theories are the theoretical framework for this study.
Regression analysis using 10 independant variables is applied to these white-, black-, and mixed-race tracts, separately, in order to make comparisons between these three areas' rent prices and to test the hypothesis.
Two different approaches are employed in analyzing the results of white- and black-tracts' regression models. The first approach is the comparison of each models' parameters(coefficients). The second approach is to create the predicted average rents for residents in black-tracts using black means and white coefficients. In this manner, the predicted average rent for residents in white-tracts can also be calculated. In addition, two different types of model, one without the race dummy variable, the other with this variable, are developed. The combined data set of white- and black-tracts are used to develop a regression model with a dummy variable representing race. If the race variable has a positive and significant effect on the dependent variable(rent), this may indicate that the price of rental housing for black-households is higher than the price of comparable housing for whites, ceteris paribus.
The findings indicate that black-tracts' residents would pay more than residents in white-tracts for the average ghetto unit. The results obtained for the regression model based on the pooled sample of the white- and black-tracts suggest that residents in black-tracts would pay 22 percent more than residents in white-tracts for the same quality rental housing units, ceteris paribus. The race dummy variable is statistically significant and has a positive correlation with rent. These empirical test results imply that blacks face higher rents for the average ghetto unit because they have only a limited choice in the rental housing market in Manhattan. However, whites would pay more than blacks to locate away from blacks. As long as this segregated market exists, blacks are more spatially concentrated and occupy lower-quality housing in comparison to whites at every income level.
An empirical study is to be undertaken to determine whether or to what extent blacks(residents in black study-areas) pay more than whites(residents in white study-areas) for rental housing of similar quality in the Borough of Manhattan, New York. The data to be employed are the 1970 United States Census of Population and Housing, Census Tracts. The data are stratified in three sub-samples. One covers the areas in which the population is almost totally white; the second sample examines the areas where blacks are dominant; the third is defined as the mixed-areas where the percentage of blacks is between 15 and 50.
Unlike the "self-segregation" theory, disequilibrium theorists would recognize the role of income differences and the different composition of black households but would stress the importance of racial discrimination in housing markets. These two theories are the theoretical framework for this study.
Regression analysis using 10 independant variables is applied to these white-, black-, and mixed-race tracts, separately, in order to make comparisons between these three areas' rent prices and to test the hypothesis.
Two different approaches are employed in analyzing the results of white- and black-tracts' regression models. The first approach is the comparison of each models' parameters(coefficients). The second approach is to create the predicted average rents for residents in black-tracts using black means and white coefficients. In this manner, the predicted average rent for residents in white-tracts can also be calculated. In addition, two different types of model, one without the race dummy variable, the other with this variable, are developed. The combined data set of white- and black-tracts are used to develop a regression model with a dummy variable representing race. If the race variable has a positive and significant effect on the dependent variable(rent), this may indicate that the price of rental housing for black-households is higher than the price of comparable housing for whites, ceteris paribus.
The findings indicate that black-tracts' residents would pay more than residents in white-tracts for the average ghetto unit. The results obtained for the regression model based on the pooled sample of the white- and black-tracts suggest that residents in black-tracts would pay 22 percent more than residents in white-tracts for the same quality rental housing units, ceteris paribus. The race dummy variable is statistically significant and has a positive correlation with rent. These empirical test results imply that blacks face higher rents for the average ghetto unit because they have only a limited choice in the rental housing market in Manhattan. However, whites would pay more than blacks to locate away from blacks. As long as this segregated market exists, blacks are more spatially concentrated and occupy lower-quality housing in comparison to whites at every income level.
목차
〈ABSTRACT〉
1. 序
2. 理論的 배경
3. 社會 經濟的 與件
4. 計量的 接近(Quantitive Approach)
5. 結語
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