More on Non-White Poverty and Economic Growth

G. Hoover, Mehmet E. Yaya, Sondra Collins
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Abstract

We use Seemingly Unrelated Regressions (SUR), to explore the impact of three different measures of economic activity -- growth in Gross Domestic Product (GDP), unemployment, and manufacturing employment -- on poverty among whites, blacks and Hispanics in the United States. This analysis is unique in that we further disaggregate the data, by looking at the impact of growth across racial/ethnic groups in four census regions. We find that the impacts of the various measures of economic activity vary greatly by the group and the region. In particular, Hispanic poverty tends to be strongly related to changes in the unemployment rate, while white poverty tends to be strongly related to changes in manufacturing.
更多关于非白人贫困和经济增长
我们使用看似无关的回归(SUR)来探索三种不同的经济活动指标——国内生产总值(GDP)增长、失业率和制造业就业——对美国白人、黑人和西班牙裔人贫困的影响。该分析的独特之处在于,我们通过观察四个人口普查区域中不同种族/族裔群体的增长影响,进一步分解了数据。我们发现,经济活动的各种衡量标准的影响因群体和地区而异。特别是,西班牙裔的贫困往往与失业率的变化密切相关,而白人的贫困往往与制造业的变化密切相关。
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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