JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time.
JUE Insight: The determinants of the differential exposure to COVID-19 in New York city and their evolution over time.
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DOI：
10.1016/j.jue.2020.103293
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发表时间：
2022-01
影响因子：
6.3
通讯作者：
Orane-Hutchinson A
中科院分区：
文献类型：
--
作者：
Almagro M;Orane-Hutchinson A
我们认为，职业是理解纽约市COVID-19早期传播的一个关键解释变量，发现它们比种族或收入等其他关键人口统计数据发挥更大的作用。此外，我们发现没有证据表明通勤模式是显着的职业控制后。另一方面，与白人相比，黑人和西班牙裔人的种族差异仍然存在，尽管这种差异的程度在经济上很小。我们在数周的时间内进行分析，以评估不同渠道如何与大流行的进展和居家秩序相互作用。虽然许多职业和人口统计学的系数幅度下降，但我们发现证据表明，随着时间的推移，家庭内部的传染性会更高。最后，我们的研究结果还表明，在COVID-19的传播中，拥挤的空间比人口密度发挥了更重要的作用。
We argue that occupations are a key explanatory variable for understanding the early transmission of COVID-19 in New York City, finding that they play a larger role than other key demographics such as race or income. Moreover, we find no evidence that commuting patterns are significant after controlling for occupations. On the other hand, racial disparities still persist for Blacks and Hispanics compared with Whites, although the disparities’ magnitudes are economically small. We perform our analysis over a range of several weeks to evaluate how different channels interact with the progression of the pandemic and the stay-at-home order. While the coefficient magnitudes of many occupations and demographics decrease, we find evidence consistent with higher intra-household contagion over time. Finally, our results also suggest that crowded spaces play a more important role than population density in the spread of COVID-19.
影响因子：
9.8
作者：
Goolsbee A;Syverson C
通讯作者：
Syverson C
DOI：
10.1073/pnas.1009510107
发表时间：
2010-08-31
影响因子：
11.1
作者：
Hsiang, Solomon M.
通讯作者：
Hsiang, Solomon M.
影响因子：
3.6
作者：
Michaels, Guy;Rauch, Ferdinand;Redding, Stephen J.
通讯作者：
Redding, Stephen J.