Nothing Special   »   [go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/fiu/wpaper/2205.html
   My bibliography  Save this paper

Nonlinear Effects of Mobility on COVID-19 in the U.S.: Targeted Lockdowns Based on Income and Poverty

Author

Listed:
  • Hakan Yilmazkuday

    (Department of Economics, Florida International University)

Abstract
This paper investigates nonlinearities in the relationship between mobility and COVID-19 cases or deaths. The formal analysis is achieved by using county-level daily data from the U.S., where a difference-in-difference design is employed. Nonlinearities in the relationship between mobility and COVID-19 cases or deaths are investigated by regressing weekly percentage changes in COVID-19 cases or deaths on mobility measures, where county fixed effects and daily fixed effects are controlled for. The main innovation is achieved by distinguishing between the coefficients in front of mobility measures across U.S. counties based on their demographic or socioeconomic characteristics. The results suggest that the positive effects of mobility on COVID-19 cases or deaths increase with population, per capita income, or commuting time as well as with having certain occupations, working in certain industries, attending certain schools, or having certain educational attainments. Important policy implications follow regarding where mobility restrictions would work better to fight against COVID-19 through targeted lockdowns.

Suggested Citation

  • Hakan Yilmazkuday, 2022. "Nonlinear Effects of Mobility on COVID-19 in the U.S.: Targeted Lockdowns Based on Income and Poverty," Working Papers 2205, Florida International University, Department of Economics.
    • Handle: RePEc:fiu:wpaper:2205
    as

    Download full text from publisher

    File URL: https://economics.fiu.edu/research/pdfs/2022_working_papers/2205.pdf
    File Function: First version, 2022
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Daron Acemoglu & Victor Chernozhukov & Iván Werning & Michael D. Whinston, 2021. "Optimal Targeted Lockdowns in a Multigroup SIR Model," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 487-502, December.
    2. Caitlin S. Brown & Martin Ravallion, 2020. "Inequality and the Coronavirus: Socioeconomic Covariates of Behavioral Responses and Viral Outcomes Across US Counties," NBER Working Papers 27549, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aditya Goenka & Lin Liu & Manh-Hung Nguyen, 2021. "Modeling optimal quarantines with waning immunity," Discussion Papers 21-10, Department of Economics, University of Birmingham.
    2. Aditya Goenka & Lin Liu & Manh-Hung Nguyen, 2020. "Modeling optimal quarantines under infectious disease related mortality," Working Papers 202025, University of Liverpool, Department of Economics.
    3. Kumar, Anand & Priya, Bhawna & Srivastava, Samir K., 2021. "Response to the COVID-19: Understanding implications of government lockdown policies," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 76-94.
    4. Graham, James & Ozbilgin, Murat, 2021. "Age, industry, and unemployment risk during a pandemic lockdown," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    5. Louis-Philippe Beland & Abel Brodeur & Taylor Wright, 2020. "COVID-19, Stay-at-Home Orders and Employment: Evidence from CPS Data," Carleton Economic Papers 20-04, Carleton University, Department of Economics, revised 19 May 2020.
    6. M. Hashem Pesaran & Cynthia Fan Yang, 2022. "Matching theory and evidence on Covid‐19 using a stochastic network SIR model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1204-1229, September.
    7. Goodkin-Gold, Matthew & Kremer, Michael & Snyder, Christopher M. & Williams, Heidi, 2022. "Optimal vaccine subsidies for endemic diseases," International Journal of Industrial Organization, Elsevier, vol. 84(C).
    8. Nicola Fuchs-Schündeln & Dirk Krueger & André Kurmann & Etienne Lalé & Alexander Ludwig & Irina Popova, 2023. "The Fiscal and Welfare Effects of Policy Responses to the Covid-19 School Closures," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(1), pages 35-98, March.
    9. Brandily, Paul & Brébion, Clément & Briole, Simon & Khoury, Laura, 2021. "A poorly understood disease? The impact of COVID-19 on the income gradient in mortality over the course of the pandemic," European Economic Review, Elsevier, vol. 140(C).
    10. Xiao Chen & Hanwei Huang & Jiandong Ju & Ruoyan Sun & Jialiang Zhang, 2022. "Endogenous cross-region human mobility and pandemics," CEP Discussion Papers dp1860, Centre for Economic Performance, LSE.
    11. Shami, Labib & Lazebnik, Teddy, 2022. "Economic aspects of the detection of new strains in a multi-strain epidemiological–mathematical model," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    12. Luca Gori & Piero Manfredi & Simone Marsiglio & Mauro Sodini, 2023. "A parsimonious model of optimal social distancing and vaccination during an outbreak," Discussion Papers 2023/292, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.
    13. Basu Parantap & Bell Clive & Edwards Terence Huw, 2022. "COVID Social Distancing and the Poor: An Analysis of the Evidence for England," The B.E. Journal of Macroeconomics, De Gruyter, vol. 22(1), pages 211-240, January.
    14. Adolfo Rubinstein & Eduardo Levy Yeyati, 2022. "An Integrated Epidemiological and Economic Model of COVID-19 NPIs in Argentina," Working Papers 197, Red Nacional de Investigadores en Economía (RedNIE).
    15. Nikhil Agarwal & Andrew Komo & Chetan A. Patel & Parag A. Pathak & M. Utku Ünver, 2021. "The Trade-off Between Prioritization and Vaccination Speed Depends on Mitigation Measures," NBER Working Papers 28519, National Bureau of Economic Research, Inc.
    16. Beppu, Shotaro & Fujii, Daisuke & Kubota, Hiroyuki & Machi, Kohei & Maeda, Yuta & Nakata, Taisuke & Shibuya, Haruki, 2023. "Cross-regional heterogeneity in health and economic outcomes during the COVID-19 pandemic: An analysis of Japan," Journal of the Japanese and International Economies, Elsevier, vol. 70(C).
    17. Bisin, Alberto & Moro, Andrea, 2022. "Spatial‐SIR with network structure and behavior: Lockdown rules and the Lucas critique," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 370-388.
    18. Dirk Niepelt & Mart n Gonzalez-Eiras, 2020. "Optimally Controlling an Epidemic," Diskussionsschriften dp2019, Universitaet Bern, Departement Volkswirtschaft.
    19. Hausmann, Ricardo & Schetter, Ulrich, 2022. "Horrible trade-offs in a pandemic: Poverty, fiscal space, policy, and welfare," World Development, Elsevier, vol. 153(C).
    20. Kim, Dongwoo & Lee, Young Jun, 2022. "Vaccination strategies and transmission of COVID-19: Evidence across advanced countries," Journal of Health Economics, Elsevier, vol. 82(C).

    More about this item

    Keywords

    Coronavirus; COVID-19; Mobility; Demographics; Lockdowns;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:fiu:wpaper:2205. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sheng Guo (email available below). General contact details of provider: https://edirc.repec.org/data/defiuus.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.