We consider the association between state political ideology and population mobility during the coronavirus (COVID-19) pandemic We use first-party geo-behavioral data to estimate the average distance traveled by approximately 15,000,000 devices over 10 weeks (February 24, 2020 to April 27, 2020) Regression models with state clustered robust standard errors show lower shelter-in-place rates and higher mobility scores in states with larger percentages of voters who supported Trump in the 2016 presidential election We also find that shelter-in-place rates increased and mobility scores declined at slower rates in states with greater Trump support Shelter-in-place rates and average mobility scores were comparable in states governed by Republicans and Democrats There was some evidence that shelter-in-place rates increased and average mobility scores declined at slower rates in states governed by Republicans Overall, states with more Trump voters are more resistant to public health recommendations and state stay-at-home orders during the coronavirus pandemic

中文翻译：

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最棘手的问题：在新型冠状病毒 (COVID-19) 大流行期间，人口流动性是否因国家政治意识形态而异？

我们考虑了冠状病毒 (COVID-19) 大流行期间国家政治意识形态与人口流动之间的关联我们使用第一方地理行为数据来估计大约 15,000,000 台设备在 10 周内（2020 年 2 月 24 日至 4 月 27 日）移动的平均距离,2020 年）具有州聚类稳健标准误差的回归模型显示，在 2016 年总统大选中支持特朗普的选民比例较大的州，就地避难率较低，流动性得分较高。我们还发现，就地避难率有所增加，流动性较高在特朗普支持率较高的州，分数下降速度较慢 就地避难率和平均流动性得分在共和党和民主党管辖的州中相当 有证据表明，就地避难率上升，平均流动性得分下降速度较慢在共和党统治的州 总体而言，在冠状病毒大流行期间，拥有更多特朗普选民的州更能抵抗公共卫生建议和州内的居家令在冠状病毒大流行期间，拥有更多特朗普选民的州对公共卫生建议和州内的居家令更有抵抗力在冠状病毒大流行期间，拥有更多特朗普选民的州对公共卫生建议和州内的居家令更有抵抗力