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Hospitalizations, Mortality, and Racial/Ethnic Disparities in the COVID-19 Pandemic
Zirui Song, Harvard University
Lindsey J. Patterson, Harvard University
Luka Zhang, Avant-garde Health
Lowry Barnes, University of Arkansas
Derek Haas, Avant-garde Health
The COVID-19 Pandemic, Domestic Violence and the Riskiness of Alcohol Consumption
Aaron Chalfin, University of Pennsylvania
Shooshan Danagoulian, Wayne State University
Monica Deza, City University of New York and NBER
Women's Well-being During a Pandemic and its Containment
Natalie Bau, University of California, Los Angeles and NBER
Gaurav Khanna, University of California at San Diego
Corinne Low, University of Pennsylvania and NBER
Manisha Shah, University of California, Los Angeles and NBER
Sreyashi Sharmin, Stanford University
Alessandra Voena, Stanford University and NBER

The Covid-19 pandemic brought the dual crises of disease burden and the impact of containment policies designed to mitigate it, both of which generate meaningful economic adversities. Yet, there is little evidence on the potential costs of these policies in a low-income country where online substitutes for in-person transactions and social safety-nets are scarce. Given adverse gender norms, women may be especially vulnerable in such settings. Bau, Khanna, Low, Shah, Sharmin, and Voena conduct a large phone survey and combine it with India's unusually geographically variant containment policies, allowing us to estimate the relationship of the pandemic and containment policies with economic outcomes, food security, and female mental health in a lower-income country of 1.4 billion people. The pandemic resulted in drastic income losses and increases in food insecurity. Greater prevalence of containment policies is associated with increased food insecurity, particularly for women, and reduced female mental health and sense of safety. Mental health and food impacts were exacerbated for women who had daughters or lived in female-headed households, who may be more vulnerable. Bau, Khanna, Low, Shah, Sharmin, and Voena provide new evidence on the effects of lockdown policies in a country with limited social safety nets and present some of the first estimates of the Covid-19 pandemic's effect on mental health outside of high-income countries.

COVID-19 Vaccination Take-Up in a County-Run Medicaid Managed Care Population
Tom Chang, University of Southern California
Mireille Jacobson, University of Southern California and NBER
Manisha Shah, University of California, Los Angeles and NBER
Rajiv Pramanik, Contra Costa Health Services
Samir B. Shah, Contra Costa Health Services

Estimates of willingness to get vaccinated for Covid-19 range from about 50% to 60% and are low even for some groups facing high risk of Covid-19 infection, hospitalization, and mortality. These rates are concerning given that models of herd immunity require much higher rates of vaccine take-up. In this work, Chang, Jacobson, Shah, Pramanik, and Shah are partnering with Contra Costa Health Services (CCHS), the department of health in Contra Costa County, CA, to test ways to increase Covid-19 vaccine take-up in a racially and ethnically diverse Medicaid managed care population. The researchers hypothesize that small financial incentives and other low-cost behavioral nudges, such as default appointments and race-concordant provider messages, can be used to increase vaccine take-up.

Market Design to Accelerate COVID-19 Vaccine Supply
Michael Kremer, University of Chicago and NBER

Although the value of vaccines may seem obvious, government action and investment in vaccines have not been commensurate with the enormous scale of benefits, with many countries not likely to achieve widespread immunization until the end of 2022.



Francis Annan, Georgia State University
Belinda Archibong, Columbia University
Marie Beigelman, University of Barcelona
Partha Bhattacharyya, National Institutes of Health
Samantha Burn, Harvard University
Martina Celidoni, University of Padua
Stephen Coussens, Columbia University
Jamie Doyle, National Institutes of Healh
Ibtihal Ferwana, University of Illinois Urbana Champaign
Yevgeniy Feyman, Boston University
Dirk Foremny, IEB Barcelona
Ashvin Gandhi, University of California at Los Angeles
Hanke Heun-Johnson, University of Southern California
Hanbat Jeong, Ohio State University
Lindsay Kobayashi, University of Michigan
Geoffrey Kocks, Massachusetts Institute of Technology
Felix Koenig, Carnegie Mellon University
Johannes S. Kunz, Monash University
Sasmira Matta, University of Pennsylvania
Lindsey J. Patterson, Harvard University
Sri H. Rachmad, STIS - Polytechnique of Statistics Institute and BPS-Statistics Indone
Eka Rumanitha, Polystatistic Indonesia
Luca Salmasi, Catholic University of the Sacred
Ajay Shenoy, University of California at Santa Cruz
Erica Spotts, National Institutes of Health
Joan Stillwell, NBER
Stephenson Strobel, Cornell University
Revathy Suryanarayana, Cornell University
Victoria Udalova, U.S. Census Bureau
Lav R. Varshney, University of Illinois Urbana Champaign
Cristina Vilaplana, Universidad de Murcia
Hao Yu, Harvard Medical School

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