IDEAS home Printed from https://ideas.repec.org/p/cdl/agrebk/qt5h97n884.html
   My bibliography  Save this paper

Are We #StayingHome to Flatten the Curve?

Author

Listed:
  • Villas-Boas, Sofia B
  • Sears, James
  • Villas-Boas, Miguel
  • Villas-Boas, Vasco

Abstract

The recent spread of COVID-19 across the U.S. led to concerted efforts by states to ``flatten the curve" through the adoption of stay-at-home mandates that encourage individuals to reduce travel and maintain social distance. Combining data on changes in travel activity with COVID-19 health outcomes and state policy adoption timing, we characterize nationwide changes in mobility patterns and isolate the portion attributable to statewide mandates. We find evidence of dramatic nationwide declines in mobility prior to adoption of any statewide mandates. Once states adopt a mandate, we estimate further mandate-induced declines between 2.1 and 7.0 percentage points across methods that account for states' differences in travel behavior prior to policy adoption. In addition, we investigate the effects of stay-at-home mandates on changes in COVID-19 health outcomes while controlling for pre-trends and observed pre-treatment mobility patterns. We estimate mandate-induced declines between 0.13 and 0.17 in deaths (5.6 to 6.0 in hospitalizations) per 100 thousand across methods. Across 43 adopting states, this represents 23,366-30,144 fewer deaths (and roughly one million averted hospitalizations) for the months of March and April - which indicates that death rates could have been 42-54% higher had states not adopted statewide policies. We further find evidence that changes in mobility patterns prior to adoption of statewide policies also played a role in reducing COVID-19 mortality and morbidity. Adding in averted deaths due to pre-mandate social distancing behavior, we estimate a total of 48-71,000 averted deaths from COVID-19 for the two-month period. Given that the actual COVID-19 death toll for March and April was 55,922, our estimates suggest that deaths would have been 1.86-2.27 times what they were absent any stay-at-home mandates during this period. These estimates represent a lower bound on the health impacts of stay-at-home policies, as they do not account for spillovers or undercounting of COVID-19 mortality. Our findings indicate that early behavior changes and later statewide policies reduced death rates and helped attenuate the negative consequences of COVID-19. Further, our findings of substantial reductions in mobility prior to state-level policies convey important policy implications for re-opening. Take Away Link https://are.berkeley.edu/sites/are.berkeley.edu/files/PolicyTakeAway_Web.pdf

Suggested Citation

  • Villas-Boas, Sofia B & Sears, James & Villas-Boas, Miguel & Villas-Boas, Vasco, 2020. "Are We #StayingHome to Flatten the Curve?," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt5h97n884, Department of Agricultural & Resource Economics, UC Berkeley.
  • Handle: RePEc:cdl:agrebk:qt5h97n884
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/5h97n884.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Martin S Eichenbaum & Sergio Rebelo & Mathias Trabandt, 2021. "The Macroeconomics of Epidemics [Economic activity and the spread of viral diseases: Evidence from high frequency data]," Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    2. Joakim A. Weill & Matthieu Stigler & Olivier Deschenes & Michael R. Springborn, 2021. "Researchers' Degrees-of-Flexibility and the Credibility of Difference-in-Differences Estimates: Evidence From the Pandemic Policy Evaluations," NBER Working Papers 29550, National Bureau of Economic Research, Inc.
    3. Herby, Jonas & Jonung, Lars & Hanke, Steve, 2022. "A Literature Review and Meta-Analysis of the Effects of Lockdowns on Covid-19 Mortality - II," MPRA Paper 113732, University Library of Munich, Germany.
    4. Bardey, David & Fernandez Sierra, Manuel & Gravel, Alexis, 2021. "Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?," IZA Discussion Papers 14095, Institute of Labor Economics (IZA).
    5. Aldo Carranza & Marcel Goic & Eduardo Lara & Marcelo Olivares & Gabriel Y. Weintraub & Julio Covarrubia & Cristian Escobedo & Natalia Jara & Leonardo J. Basso, 2022. "The Social Divide of Social Distancing: Shelter-in-Place Behavior in Santiago During the Covid-19 Pandemic," Management Science, INFORMS, vol. 68(3), pages 2016-2027, March.
    6. Germain Gauthier, 2021. "On the Use of Two-Way Fixed Effects Models for Policy Evaluation During Pandemics," Papers 2106.10949, arXiv.org.
    7. Dylan Balla-Elliott & Zoë B. Cullen & Edward L. Glaeser & Michael Luca & Christopher T. Stanton, 2020. "Determinants of Small Business Reopening Decisions After COVID Restrictions Were Lifted," NBER Working Papers 27362, National Bureau of Economic Research, Inc.
    8. Martin S. Eichenbaum & Miguel Godinho de Matos & Francisco Lima & Sergio Rebelo & Mathias Trabandt, 2020. "Expectations, Infections, and Economic Activity," NBER Working Papers 27988, National Bureau of Economic Research, Inc.
    9. Eichenbaum, Martin S. & Rebelo, Sergio & Trabandt, Mathias, 2022. "Epidemics in the New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    10. Dhaval Dave & Andrew I. Friedson & Kyutaro Matsuzawa & Joseph J. Sabia, 2021. "When Do Shelter‐In‐Place Orders Fight Covid‐19 Best? Policy Heterogeneity Across States And Adoption Time," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 29-52, January.
    11. Mohammad Akbarpour & Cody Cook & Aude Marzuoli & Simon Mongey & Abhishek Nagaraj & Matteo Saccarola & Pietro Tebaldi & Shoshana Vasserman & Hanbin Yang, 2020. "Socioeconomic Network Heterogeneity and Pandemic Policy Response," NBER Working Papers 27374, National Bureau of Economic Research, Inc.
    12. van Basshuysen, Philippe & White, Lucie & Khosrowi, Donal & Frisch, Mathias, 2021. "Three ways in which pandemic models may perform a pandemic," LSE Research Online Documents on Economics 110996, London School of Economics and Political Science, LSE Library.
    13. Bisin, Alberto & Moro, Andrea, 2022. "JUE insight: Learning epidemiology by doing: The empirical implications of a Spatial-SIR model with behavioral responses," Journal of Urban Economics, Elsevier, vol. 127(C).
    14. Dalton Garcia Borges de Souza & Erivelton Antonio dos Santos & Francisco Tarcísio Alves Júnior & Mariá Cristina Vasconcelos Nascimento, 2021. "On Comparing Cross-Validated Forecasting Models with a Novel Fuzzy-TOPSIS Metric: A COVID-19 Case Study," Sustainability, MDPI, vol. 13(24), pages 1-25, December.
    15. Hunt Allcott & Levi Boxell & Jacob C. Conway & Billy A. Ferguson & Matthew Gentzkow & Benjamin Goldman, 2020. "What Explains Temporal and Geographic Variation in the Early US Coronavirus Pandemic?," NBER Working Papers 27965, National Bureau of Economic Research, Inc.
    16. Ricardo Muñoz-Cancino & Sebastian A. Rios & Marcel Goic & Manuel Graña, 2021. "Non-Intrusive Assessment of COVID-19 Lockdown Follow-Up and Impact Using Credit Card Information: Case Study in Chile," IJERPH, MDPI, vol. 18(11), pages 1-16, May.
    17. Callaway, Brantly & Li, Tong, 2023. "Policy evaluation during a pandemic," Journal of Econometrics, Elsevier, vol. 236(1).
    18. Bratsberg, Bernt & Godøy, Anna & Hart, Rannveig Kaldager & Raaum, Oddbjørn & Reme, Bjørn-Atle & Wörn, Jonathan, 2023. "Work Loss and Mental Health during the COVID-19 Pandemic," IZA Discussion Papers 15913, Institute of Labor Economics (IZA).
    19. Tharcisio Leone, 2020. "COVID-19 sends the bill: Socially disadvantaged workers suffer the severest losses in earnings," Documentos de Trabajo 18291, The Latin American and Caribbean Economic Association (LACEA).
    20. Weill, Joakim A. & Stigler, Matthieu & Deschenes, Olivier & Springborn, Michael R., 2021. "COVID-19 Mobility Policies Impacts: How Credible Are Difference-in-Differences Estimates?," IZA Discussion Papers 14682, Institute of Labor Economics (IZA).
    21. Anna Godøy & Maja Weemes Grøtting & Rannveig Kaldager Hart, 2022. "Reopening schools in a context of low COVID-19 contagion: consequences for teachers, students and their parents," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(3), pages 935-961, July.
    22. Carlos B. Carneiro & I'uri H. Ferreira & Marcelo C. Medeiros & Henrique F. Pires & Eduardo Zilberman, 2020. "Lockdown effects in US states: an artificial counterfactual approach," Papers 2009.13484, arXiv.org, revised Feb 2021.
    23. Yang, Chao & Wan, Zhiyang & Yuan, Quan & Zhou, Yang & Sun, Maopeng, 2023. "Travel before, during and after the COVID-19 pandemic: Exploring factors in essential travel using empirical data," Journal of Transport Geography, Elsevier, vol. 110(C).
    24. Raj Chetty & John N. Friedman & Michael Stepner & The Opportunity Insights Team, 2020. "The Economic Impacts of COVID-19: Evidence from a New Public Database Built Using Private Sector Data," NBER Working Papers 27431, National Bureau of Economic Research, Inc.
    25. Léa BOU SLEIMAN & Germain GAUTHIER, 2020. "COVID-19: Reduced forms have gone viral, but what do they tell us?," Working Papers 2020-32, Center for Research in Economics and Statistics, revised 18 Jan 2021.

    More about this item

    Keywords

    Social and Behavioral Sciences; coronavirus | covid-19; stay-at-home; flatten the curve; policy impacts;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:agrebk:qt5h97n884. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/dabrkus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.