The COVID-19 pandemic and unemployment: Evidence from mobile phone data from China [0.03%]
基于手机数据的中国新冠肺炎疫情与失业关系研究
Teng Li,Panle Jia Barwick,Yongheng Deng et al.
Teng Li et al.
Based on mobile phone records for 71 million users and location tracking information for one million users over almost three years, this study examines the labor market impacts of the COVID-19 pandemic in China's Guangdong province, whose G...
JUE insight: Demand for transportation and spatial pattern of economic activity during the pandemic [0.03%]
JUE洞察：疫情期间的交通需求和经济活动空间模式
Kong-Pin Chen,Jui-Chung Yang,Tzu-Ting Yang
Kong-Pin Chen
Using traffic data from Taiwan for 2020, we quantify how the COVID-19 outbreak affected demand for public and private transportation. Despite there being no governmental restrictions, substantial shifts in travel modes were observed. During...
Amalia R Miller,Carmit Segal,Melissa K Spencer
Amalia R Miller
We empirically investigate the impact of COVID-19 shutdowns on domestic violence using incident-level data on both domestic-related calls for service and crime reports of domestic violence assaults from the 18 major US police departments fo...
JUE Insight: Urban flight seeded the COVID-19 pandemic across the United States [0.03%]
JUE观点：城市人口流出播下了新冠肺炎疫情蔓延美国各地的种子
Joshua Coven,Arpit Gupta,Iris Yao
Joshua Coven
We document large-scale urban flight in the United States during the COVID-19 pandemic. Regions that saw migrant influx experienced greater subsequent new COVID-19 cases, linking urban flight (as a disease vector) and coronavirus spread in ...
JUE Insight: COVID-19 and household preference for urban density in China [0.03%]
新冠疫情下的中国城市家庭偏好与密度选择
Naqun Huang,Jindong Pang,Yanmin Yang
Naqun Huang
This paper investigates the effect of COVID-19 on both housing prices and housing price gradients in China using transaction level data from 60 Chinese cities. After using a difference-in-differences (DID) specification to disentangle the c...
Graziella Bertocchi,Arcangelo Dimico
Graziella Bertocchi
The evidence on the demographics of COVID-19 fatalities points to an overrepresentation of minorities and an underrepresentation of women. We investigate the joint impact of race and gender using individual-level georeferenced death data co...
JUE Insight: Is hospital quality predictive of pandemic deaths? Evidence from US counties [0.03%]
JUE述评：医院质量能够预测疫情死亡率吗？美国县层面的证据
Johannes S Kunz,Carol Propper
Johannes S Kunz
In the large literature on the spatial-level correlates of COVID-19, the association between quality of hospital care and outcomes has received little attention to date. To examine whether county-level mortality is correlated with measures ...
Nathaniel Baum-Snow,Edward L Glaeser,Stuart S Rosenthal
Nathaniel Baum-Snow
Elisa Giannone,Nuno Paixão,Xinle Pang
Elisa Giannone
How does interconnectedness affect the course of a pandemic? What are the optimal containment policies in an economy with connected regions? We embed a spatial SIR model into a multi-sector quantitative trade model. We calibrate it to US st...
JUE insights: Does mobility explain why slums were hit harder by COVID-19 in Mumbai, India? [0.03%]
简析：为何疫情期间印度孟买贫民窟受疫情冲击更大？
Jaymee Sheng,Anup Malani,Ashish Goel et al.
Jaymee Sheng et al.
SARS-CoV-2 has had a greater burden, as measured by rate of infection, in poorer communities within cities. For example, 55% of Mumbai slums residents had antibodies to COVID-19, 3.2 times the seroprevalence in non-slum areas of the city ac...