住房所有权中的种族和民族差异

Susan M. Wachter, I. Megbolugbe
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引用次数: 111

摘要

不同种族和民族的住房自有率一直存在差异。白人的住房拥有率比黑人和西班牙裔高出20个百分点。本文使用住房使用权决策模型来更好地理解住房所有权中的种族和民族差异,并采用已应用于劳动力市场歧视的分解技术来报告两个假设的实证检验结果;(1)种族(民族)通过家庭禀赋(收入、教育、年龄、性别和家庭类型)和市场禀赋(价格和位置)的差异影响所有权的概率;(2)种族(族裔)通过种族或族裔歧视和其他可能与种族或族裔相关的因素直接影响所有权的概率。我们发现禀赋效应在解释房屋所有权中持续存在的种族和民族差异方面很重要。简而言之,1989年美国住房调查(AHS)全国样本数据的logit分析显示,黑人和白人家庭(西班牙裔/非西班牙裔)预测所有权概率之间的差异,81%(78%)是由于群体禀性的差异。直接影响解释了19%的黑人-白人差异和22%的西班牙裔/非西班牙裔差异。由于直接影响被建模为剩余差异,因此必须认识到,剩余成分也可能捕捉到市场过程内部被忽略或难以衡量的重要变量的影响,并与种族或民族相关。这些因素包括财富、家庭位置、就业历史、信用历史和对房屋所有权的文化倾向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Racial and Ethnic Disparities in Homeownership
There are persistent differences in homeownership rates across racial and ethnic groups. Homeownership rates for whites are over 20 percentage points higher than for blacks or Hispanics. This paper uses a model of the housing tenure decision to gain a better understanding of these racial and ethnic differentials in homeownership and employs a decomposition technique that has been applied to labor market discrimination to report the results of the empirical testing of two hypotheses; (1) race (ethnicity) influences the probability of ownership through differences in household endowments (income, education, age, gender, and family type) and market endowments (price and location); and (2) race (ethnicity) directly influences the probability of ownership through racial or ethnic discrimination and other factors that may be correlated with race or ethnicity. We find endowment effects important in explaining the persistent racial and ethnic disparities in homeownership. In brief, logit analysis of 1989 American Housing Survey (AHS) national sample data reveals that 81 percent (78 percent) of the differences between the predicted probability of ownership between black and white households (Hispanic/non-Hispanic) are due to differences in group endowments. Direct effects explain 19 percent of the black-white differentials and 22 percent of the Hispanic/non-Hispanic differentials. Because the direct effects are modeled as residual differences, it must be realized that the residual components could also be capturing the influence of important omitted or harder to measure variables internal to the market process and correlated with race or ethnicity. These include wealth, household location, employment history, credit history, and cultural predisposition toward homeownership.
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