Residential Migration, Entry, and Exit as Seen Through the Lens of Credit Bureau Data

Keith E. Wardrip, R. Hunt
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引用次数: 18

Abstract

We analyze a large, nationally representative anonymized data set of consumers with a credit report from 2002 to 2010. This is a period that encompasses a boom and bust in consumer credit. Using census data, we classify consumers into four categories of relative neighborhood income and find that, over time, the number and proportion of consumers with a credit report fell in low- and moderate-income neighborhoods and rose in higher-income neighborhoods. Population trends evident from census data explain only a portion of these changes in the location of the credit bureau population. In most instances, the primary driver reflects residential migration from relatively poorer neighborhoods to ones with relatively higher incomes. Patterns of entry into or exit from the credit bureau population were correlated with the credit cycle, as well as with relative neighborhood income, resulting in slower sample growth in low- and moderate-income neighborhoods during periods of credit contraction. These results are interesting in themselves, but they are also important for interpreting empirical results estimated from credit bureau data.
从信用局数据的角度看居民迁移、入境和出境
我们分析了2002年至2010年具有全国代表性的大型匿名消费者信用报告数据集。这是一个包含消费信贷繁荣与萧条的时期。使用人口普查数据,我们将消费者分为相对邻里收入的四类,并发现,随着时间的推移,有信用报告的消费者的数量和比例在低收入和中等收入社区下降,在高收入社区上升。人口普查数据显示的人口趋势只能解释信用局人口所在地变化的一部分。在大多数情况下,主要驱动因素反映了居民从相对贫穷的社区向收入相对较高的社区的迁移。进入或退出征信机构人口的模式与信贷周期以及相对社区收入相关,导致在信贷收缩期间,低收入和中等收入社区的样本增长较慢。这些结果本身很有趣,但它们对于解释从信用局数据估计的经验结果也很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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