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Stay at home to stay safe: Effectiveness of stay‐at‐home orders in containing the COVID‐19 pandemic

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  • Guihua Wang

Abstract

Since the outbreak of the COVID‐19 pandemic, the effectiveness of stay‐at‐home orders implemented in many states in the United States has been the subject of ongoing debate. Whereas proponents believe these orders help reduce person‐to‐person contact and therefore the spread of the pandemic, opponents argue these orders are unnecessary and ineffective. In this study, we use eight states that did not implement the orders as a control group and six neighboring states that did implement them as a treatment group to estimate the effectiveness of stay‐at‐home orders. We find that although residents in both groups were staying at home even before the implementation of any order, these orders reduced the number of new COVID‐19 cases by 7.6%. To understand the mechanisms behind these results, we compare the mobility of residents in the control and treatment groups over time. We find stay‐at‐home orders significantly reduced residents' mobility at grocery stores and pharmacies, transit stations, workplaces, and retail and recreation locations. The results of this study are useful to policymakers in conducting cost–benefit analyses of back‐to‐work plans versus stay‐at‐home policies and deciding whether to implement, extend, lift, or reimplement stay‐at‐home orders amid a pandemic such as COVID‐19. Our results are also useful to researchers because we highlight the importance of correcting for potential selection issues. As we illustrate in this study, ignoring potential selection issues would lead to the wrong conclusion that stay‐at‐home orders increase the number of new COVID‐19 cases.

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  • Guihua Wang, 2022. "Stay at home to stay safe: Effectiveness of stay‐at‐home orders in containing the COVID‐19 pandemic," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2289-2305, May.
    • Handle: RePEc:bla:popmgt:v:31:y:2022:i:5:p:2289-2305
    DOI: 10.1111/poms.13685
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    1. Karthik Muralidharan & Nishith Prakash, 2017. "Cycling to School: Increasing Secondary School Enrollment for Girls in India," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 321-350, July.
    2. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 577-599.
    3. Card, David & Krueger, Alan B, 1994. "Minimum Wages and Employment: A Case Study of the Fast-Food Industry in New Jersey and Pennsylvania," American Economic Review, American Economic Association, vol. 84(4), pages 772-793, September.
    4. David Dranove & Daniel Kessler & Mark McClellan & Mark Satterthwaite, 2003. "Is More Information Better? The Effects of "Report Cards" on Health Care Providers," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 555-588, June.
    5. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    6. Cooper, Ian & Mondal, Argha & Antonopoulos, Chris G., 2020. "A SIR model assumption for the spread of COVID-19 in different communities," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    7. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    8. Eli Ben‐Michael & Avi Feller & Jesse Rothstein, 2022. "Synthetic controls with staggered adoption," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 351-381, April.
    9. Jeong‐ha (Cath) Oh & Zhiqiang (Eric) Zheng & Indranil R. Bardhan, 2018. "Sooner or Later? Health Information Technology, Length of Stay, and Readmission Risk," Production and Operations Management, Production and Operations Management Society, vol. 27(11), pages 2038-2053, November.
    10. Raymond Lei Fan & Ming Zhao & David Xiaosong Peng, 2021. "Differentiating Interhospital Transfer Types: Varied Impacts and Diverging Coordination Strategies," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3657-3678, October.
    11. Fang, Hanming & Wang, Long & Yang, Yang, 2020. "Human mobility restrictions and the spread of the Novel Coronavirus (2019-nCoV) in China," Journal of Public Economics, Elsevier, vol. 191(C).
    12. Richard C. Larson, 2007. "Simple Models of Influenza Progression Within a Heterogeneous Population," Operations Research, INFORMS, vol. 55(3), pages 399-412, June.
    13. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    14. Ali Ekici & Pınar Keskinocak & Julie L. Swann, 2014. "Modeling Influenza Pandemic and Planning Food Distribution," Manufacturing & Service Operations Management, INFORMS, vol. 16(1), pages 11-27, February.
    15. Peng Sun & Liu Yang & Francis de Véricourt, 2009. "Selfish Drug Allocation for Containing an International Influenza Pandemic at the Onset," Operations Research, INFORMS, vol. 57(6), pages 1320-1332, December.
    16. Neil M. Ferguson & Derek A.T. Cummings & Simon Cauchemez & Christophe Fraser & Steven Riley & Aronrag Meeyai & Sopon Iamsirithaworn & Donald S. Burke, 2005. "Strategies for containing an emerging influenza pandemic in Southeast Asia," Nature, Nature, vol. 437(7056), pages 209-214, September.
    17. Thomas J. Holmes, 1998. "The Effect of State Policies on the Location of Manufacturing: Evidence from State Borders," Journal of Political Economy, University of Chicago Press, vol. 106(4), pages 667-705, August.
    18. Elisa F. Long & Eike Nohdurft & Stefan Spinler, 2018. "Spatial Resource Allocation for Emerging Epidemics: A Comparison of Greedy, Myopic, and Dynamic Policies," Manufacturing & Service Operations Management, INFORMS, vol. 20(2), pages 181-198, May.
    19. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    20. Robert J. Batt & Diwas S. KC & Bradley R. Staats & Brian W. Patterson, 2019. "The Effects of Discrete Work Shifts on a Nonterminating Service System," Production and Operations Management, Production and Operations Management Society, vol. 28(6), pages 1528-1544, June.
    21. Karen M. Pence, 2006. "Foreclosing on Opportunity: State Laws and Mortgage Credit," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 177-182, February.
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    1. Herby, Jonas & Jonung, Lars & Hanke, Steve, 2022. "A Literature Review and Meta-Analysis of the Effects of Lockdowns on COVID-19 Mortality – II," Studies in Applied Economics 210, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
    2. Hu, Jin & Hu, Daning & Yang, Xuan & Chau, Michael, 2023. "The impacts of lockdown on open source software contributions during the COVID-19 pandemic," Research Policy, Elsevier, vol. 52(10).
    3. Suresh P. Sethi & Sushil Gupta & Vipin K. Agrawal & Vijay K. Agrawal, 2022. "Nobel laureates’ contributions to and impacts on operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4283-4303, December.
    4. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).

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