IDEAS home Printed from https://ideas.repec.org/p/hal/pseptp/halshs-04331269.html
   My bibliography  Save this paper

Covid-19 and mobility: determinant or consequence?

Author

Listed:
  • Hippolyte d'Albis

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Emmanuelle Augeraud-Véron

    (BSE - Bordeaux sciences économiques - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Dramane Coulibaly

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne - EM - EMLyon Business School - CNRS - Centre National de la Recherche Scientifique)

  • Rodolphe Desbordes

    (SKEMA Business School - SKEMA Business School)

Abstract

This paper disentangles the relationship between COVID-19 propagation and mobility. In a theoretical model allowing mobility to be endogenously determined by the COVID-19 prevalence rate, we show that an exogenous epidemic shock has an immediate effect on mobility whereas an exogenous mobility shock influences epidemic variables with a delay. In the long run, exogenous disease contagiousness and mobility jointly shape epidemiological outcomes. The short-run theoretical result allows us to recover, empirically, the causal impacts of mobility and COVID-19 hospitalisations on each other in France. We find that hospitalisations are highly sensitive to mobility whereas mobility is little influenced by hospitalisations. In France, it seems therefore that voluntary social distancing would not have been effective to control the epidemic, in the absence of social distancing mandates.

Suggested Citation

  • Hippolyte d'Albis & Emmanuelle Augeraud-Véron & Dramane Coulibaly & Rodolphe Desbordes, 2024. "Covid-19 and mobility: determinant or consequence?," PSE-Ecole d'économie de Paris (Postprint) halshs-04331269, HAL.
  • Handle: RePEc:hal:pseptp:halshs-04331269
    DOI: 10.1007/s00199-023-01510-3
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-04331269v1
    as

    Download full text from publisher

    File URL: https://shs.hal.science/halshs-04331269v1/document
    Download Restriction: no

    File URL: https://libkey.io/10.1007/s00199-023-01510-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Giorgio Fabbri & Salvatore Federico & Davide Fiaschi & Fausto Gozzi, 2024. "Mobility decisions, economic dynamics and epidemic," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 77(1), pages 495-531, February.
    2. 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]," The Review of Financial Studies, Society for Financial Studies, vol. 34(11), pages 5149-5187.
    3. Davide Torre & Danilo Liuzzi & Rosario Maggistro & Simone Marsiglio, 2022. "Mobility Choices and Strategic Interactions in a Two-Group Macroeconomic–Epidemiological Model," Dynamic Games and Applications, Springer, vol. 12(1), pages 110-132, March.
    4. d’Albis, Hippolyte & Augeraud-Véron, Emmanuelle, 2021. "Optimal prevention and elimination of infectious diseases," Journal of Mathematical Economics, Elsevier, vol. 93(C).
    5. Philipson, Tomas, 2000. "Economic epidemiology and infectious diseases," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 33, pages 1761-1799, Elsevier.
    6. Jinyong Hahn & Guido Kuersteiner, 2002. "Asymptotically Unbiased Inference for a Dynamic Panel Model with Fixed Effects when Both "n" and "T" Are Large," Econometrica, Econometric Society, vol. 70(4), pages 1639-1657, July.
    7. Abel Brodeur & David Gray & Anik Islam & Suraiya Bhuiyan, 2021. "A literature review of the economics of COVID‐19," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1007-1044, September.
    8. Hippolyte d'Albis & Dramane Coulibaly & Alix Roumagnac & Eurico de Carvalho Filho & Raphaël Bertrand, 2021. "Quantification of the effects of climatic conditions on French hospital admissions and deaths induced by SARS-CoV-2," PSE-Ecole d'économie de Paris (Postprint) halshs-03672103, HAL.
    9. Chernozhukov, Victor & Kasahara, Hiroyuki & Schrimpf, Paul, 2021. "Causal impact of masks, policies, behavior on early covid-19 pandemic in the U.S," Journal of Econometrics, Elsevier, vol. 220(1), pages 23-62.
    10. Jesus Fernandez-Villaverde & Charles I. Jones, 2020. "Macroeconomic Outcomes and COVID-19: A Progress Report," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 51(3 (Fall)), pages 111-166.
    11. Fabio Milani, 2021. "COVID-19 outbreak, social response, and early economic effects: a global VAR analysis of cross-country interdependencies," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(1), pages 223-252, January.
    12. Carnehl, Christoph & Fukuda, Satoshi & Kos, Nenad, 2023. "Epidemics with behavior," Journal of Economic Theory, Elsevier, vol. 207(C).
    13. Douglas W. Allen, 2022. "Covid-19 Lockdown Cost/Benefits: A Critical Assessment of the Literature," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 29(1), pages 1-32, January.
    14. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    15. Cécile Aubert & Emmanuelle Augeraud-Véron, 2021. "The relative power of individual distancing efforts and public policies to curb the COVID-19 epidemics," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-21, May.
    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. Anand Chopra & Michael B. Devereux & Amartya Lahiri, 2022. "Pandemics through the lens of occupations," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 540-580, February.
    2. Fezzi, Carlo & Fanghella, Valeria, 2021. "Tracking GDP in real-time using electricity market data: Insights from the first wave of COVID-19 across Europe," European Economic Review, Elsevier, vol. 139(C).
    3. Andrew G. Atkeson & Karen A. Kopecky & Tao Zha, 2024. "Four Stylized Facts About Covid‐19," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 65(1), pages 3-42, February.
    4. Shibamoto, Masahiko & Hayaki, Shoka & Ogisu, Yoshitaka, 2022. "COVID-19 infection spread and human mobility," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    5. Mauro Caselli & Andrea Fracasso & Sergio Scicchitano, 2022. "From the lockdown to the new normal: individual mobility and local labor market characteristics following the COVID-19 pandemic in Italy," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1517-1550, October.
    6. Tomoo INOUE & Tatsuyoshi OKIMOTO, 2022. "Exploring the Dynamic Relationship between Mobility and the Spread of COVID-19, and the Role of Vaccines," Discussion papers 22011, Research Institute of Economy, Trade and Industry (RIETI).
    7. Matheus Pereira Libório & Petr Iakovlevitch Ekel & Carlos Augusto Paiva Martins, 2023. "Economic analysis through alternative data and big data techniques: what do they tell about Brazil?," SN Business & Economics, Springer, vol. 3(1), pages 1-16, January.
    8. 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).
    9. Umut Akovali & Kamil Yilmaz, 2020. "Polarized Politics of Pandemic Response and the Covid-19 Connectedness Across the U.S. States," Koç University-TUSIAD Economic Research Forum Working Papers 2019, Koc University-TUSIAD Economic Research Forum.
    10. Gans, Joshua Samuel, 2020. "The Economic Consequences of R=1: Towards a Workable Behavioural Epidemiological Model of Pandemics," SocArXiv yxdc5, Center for Open Science.
    11. Elena Gubar & Laura Policardo & Edgar J. Sanchez Carrera & Vladislav Taynitskiy, 2021. "Optimal Lockdown Policies driven by Socioeconomic Costs," Papers 2105.08349, arXiv.org.
    12. Masuhara, Hiroaki & Hosoya, Kei, 2022. "Convergent movement of COVID-19 outbreak in Japan based on SIR model," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 29-43.
    13. Sumedha Gupta & Kosali I. Simon & Coady Wing, 2020. "Mandated and Voluntary Social Distancing During The COVID-19 Epidemic: A Review," NBER Working Papers 28139, National Bureau of Economic Research, Inc.
    14. Glenn L. Furton, 2023. "The pox of politics: Troesken’s tradeoff reexamined," Public Choice, Springer, vol. 195(1), pages 169-191, April.
    15. Gagnon, Joseph E. & Kamin, Steven B. & Kearns, John, 2023. "The impact of the COVID-19 pandemic on global GDP growth," Journal of the Japanese and International Economies, Elsevier, vol. 68(C).
    16. Francesco Paolo Conteduca & Alessandro Borin, 2022. "A New Dataset for Local and National COVID-19-Related Restrictions in Italy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(2), pages 435-470, July.
    17. Trunschke, Markus & Peters, Bettina & Czarnitzki, Dirk & Rammer, Christian, 2024. "Pandemic effects: Do innovation activities of firms suffer from Long COVID?," Research Policy, Elsevier, vol. 53(7).
    18. 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.
    19. 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.
    20. Di Bartolomeo, Giovanni & D'Imperio, Paolo & Felici, Francesco, 2022. "The fiscal response to the Italian COVID-19 crisis: A counterfactual analysis," Journal of Macroeconomics, Elsevier, vol. 73(C).

    More about this item

    Keywords

    COVID-19; Epidemic models; Mobility;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    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:hal:pseptp:halshs-04331269. 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: Caroline Bauer (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.