[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/22011.html
   My bibliography  Save this paper

Exploring the Dynamic Relationship between Mobility and the Spread of COVID-19, and the Role of Vaccines

Author

Listed:
  • INOUE Tomoo
  • OKIMOTO Tatsuyoshi
Abstract
The novel coronavirus disease 2019 (COVID-19) outbreak has caused great turmoil around the world and is yet to be contained. Mitigating the number of people infected by COVID-19 remains a major policy goal for several countries. The purpose of this study is to analyze the dynamic relationship between mobility and the rate of change in the number of new infections in Japan. Another goal is to evaluate the effects of various policies, such as human mobility control and vaccination, as well as the impact of climate factors on the number of infections. The analysis reveals a strong positive relationship between the growth rate of the number of infections and mobility. Our results also indicate that the declaration of the state emergency effectively controlled the infection, although the effect seems to be weaker with additional declarations of a state of emergency. On the effect of vaccination, the results find little effect of vaccination on reducing the spread of infection through a reduction in susceptible population, but it has significantly weakened the mobility-spread relationship, suggesting that it may be useful in implementing economic revitalization policies.

Suggested Citation

  • INOUE Tomoo & OKIMOTO Tatsuyoshi, 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).
  • Handle: RePEc:eti:dpaper:22011
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/22e011.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daisuke Fujii & Taisuke Nakata, 2021. "COVID-19 and output in Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 609-650, October.
    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. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," CESifo Working Paper Series 8977, CESifo.
    4. Fernández-Villaverde, Jesús & Jones, Charles I., 2022. "Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    5. Mendolia, Silvia & Stavrunova, Olena & Yerokhin, Oleg, 2021. "Determinants of the community mobility during the COVID-19 epidemic: The role of government regulations and information," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 199-231.
    6. Bisin, Alberto & Moro, Andrea, 2020. "Learning Epidemiology by Doing: The Empirical Implications of a Spatial SIR Model with Behavioral Responses," MPRA Paper 101059, University Library of Munich, Germany.
    7. Steven J. Davis & Dingqian Liu & Xuguang Simon Sheng, 2022. "Stock Prices and Economic Activity in the Time of Coronavirus," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 70(1), pages 32-67, March.
    8. Yanping Chong & Òscar Jordà & Alan M. Taylor, 2012. "The Harrod–Balassa–Samuelson Hypothesis: Real Exchange Rates And Their Long‐Run Equilibrium," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(2), pages 609-634, May.
    9. 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).
    10. 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.
    11. Antonio C. David & Samuel Pienknagura, 2021. "On the effectiveness of containment measures in controlling the COVID-19 pandemic: the role of labour market characteristics and governance," Applied Economics Letters, Taylor & Francis Journals, vol. 28(19), pages 1641-1647, November.
    12. Jeffrey E. Harris, 2020. "Correction to: Data from the COVID-19 epidemic in Florida suggest that younger cohorts have been transmitting their infections to less socially mobile older adults," Review of Economics of the Household, Springer, vol. 18(4), pages 1039-1039, December.
    13. Kisho Hoshi & Hiroyuki Kasahara & Ryo Makioka & Michio Suzuki & Satoshi Tanaka, 2021. "Trade-off between job losses and the spread of COVID-19 in Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 683-716, October.
    14. Granger, Clive W. J. & Inoue, Tomoo & Morin, Norman, 1997. "Nonlinear stochastic trends," Journal of Econometrics, Elsevier, vol. 81(1), pages 65-92, November.
    15. Tsutomu Watanabe & Tomoyoshi Yabu, 2021. "Japan’s Voluntary Lockdown: Further Evidence Based on Age-Specific Mobile Location Data," CARF F-Series CARF-F-508, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    16. 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.
    17. So Kubota, 2021. "The macroeconomics of COVID-19 exit strategy: the case of Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 651-682, October.
    18. Tsutomu Watanabe & Tomoyoshi Yabu, 2021. "Japan’s voluntary lockdown: further evidence based on age-specific mobile location data," The Japanese Economic Review, Springer, vol. 72(3), pages 333-370, July.
    19. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    20. Jeffrey E. Harris, 2020. "Data from the COVID-19 epidemic in Florida suggest that younger cohorts have been transmitting their infections to less socially mobile older adults," Review of Economics of the Household, Springer, vol. 18(4), pages 1019-1037, December.
    21. Hosono, Kaoru, 2021. "Epidemic and Economic Consequences of Voluntary and Request-based Lockdowns in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    22. 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.
    23. Jung, Juergen & Manley, James & Shrestha, Vinish, 2021. "Coronavirus infections and deaths by poverty status: The effects of social distancing," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 311-330.
    24. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    25. Korolev, Ivan, 2021. "Identification and estimation of the SEIRD epidemic model for COVID-19," Journal of Econometrics, Elsevier, vol. 220(1), pages 63-85.
    26. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    27. Christopher Avery & William Bossert & Adam Clark & Glenn Ellison & Sara Fisher Ellison, 2020. "An Economist's Guide to Epidemiology Models of Infectious Disease," Journal of Economic Perspectives, American Economic Association, vol. 34(4), pages 79-104, Fall.
    28. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Asako Chiba & Daisuke Fujii & Yuta Maeda & Masataka Mori & Kenichi Nagasawa & Taisuke Nakata & Wataru Okamoto, 2022. "The Effects of Hosting the Olympic and Paralympic Games on COVID-19 in Tokyo: Ex-Ante Analyses," CARF F-Series CARF-F-539, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    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. Alexander Chudik & M. Hashem Pesaran & Alessandro Rebucci, 2023. "Social Distancing, Vaccination and Evolution of COVID-19 Transmission Rates in Europe," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 474-508, June.
    2. Alexander Chudik & M. Hashem Pesaran & Alessandro Rebucci, 2021. "COVID-19 Time-Varying Reproduction Numbers Worldwide: An Empirical Analysis of Mandatory and Voluntary Social Distancing," Globalization Institute Working Papers 407, Federal Reserve Bank of Dallas.
    3. 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.
    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. 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).
    6. So Kubota, 2021. "The macroeconomics of COVID-19 exit strategy: the case of Japan," The Japanese Economic Review, Springer, vol. 72(4), pages 651-682, October.
    7. Mitsuhiro Fukao & Etsuro Shioji, 2022. "Is There a Trade‐Off between COVID‐19 Control and Economic Activity? Implications from the Phillips Curve Debate," Asian Economic Policy Review, Japan Center for Economic Research, vol. 17(1), pages 66-85, January.
    8. 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.
    9. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," Working Papers 21-18, Federal Reserve Bank of Philadelphia.
    10. Nicola Borri & Francesco Drago & Chiara Santantonio & Francesco Sobbrio, 2021. "The “Great Lockdown”: Inactive workers and mortality by Covid‐19," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2367-2382, September.
    11. Yasushi Iwamoto, 2021. "Welfare economics of managing an epidemic: an exposition," The Japanese Economic Review, Springer, vol. 72(4), pages 537-579, October.
    12. 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).
    13. Fernández-Villaverde, Jesús & Jones, Charles I., 2022. "Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities," Journal of Economic Dynamics and Control, Elsevier, vol. 140(C).
    14. Jonas E. Arias & Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Minchul Shin, 2021. "Bayesian Estimation of Epidemiological Models: Methods, Causality, and Policy Trade-Offs," CESifo Working Paper Series 8977, CESifo.
    15. Boto-García, David, 2023. "Investigating the two-way relationship between mobility flows and COVID-19 cases," Economic Modelling, Elsevier, vol. 118(C).
    16. Jonas E. Arias & Jesús Fernández-Villaverde & Juan Rubio Ramírez & Minchul Shin, 2021. "The Causal Effects of Lockdown Policies on Health and Macroeconomic Outcomes," NBER Working Papers 28617, National Bureau of Economic Research, Inc.
    17. Esaka, Taro & Fujii, Takao, 2022. "Quantifying the impact of the Tokyo Olympics on COVID-19 cases using synthetic control methods," Journal of the Japanese and International Economies, Elsevier, vol. 66(C).
    18. Masahiro Higo & Shigenori Shiratsuka, 2022. "Was Inflation Observed under the First Wave of the COVID-19 Spread in Japan? Scanner Data Evidence for Retailers in Tokyo," Keio-IES Discussion Paper Series 2022-013, Institute for Economics Studies, Keio University.
    19. MASUHARA Hiroaki & HOSOYA Kei, 2022. "What Impacts Do Human Mobility and Vaccination Have on Trends in COVID-19 Infections? Evidence from four developed countries," Discussion papers 22087, Research Institute of Economy, Trade and Industry (RIETI).
    20. Difang Huang & Ying Liang & Boyao Wu & Yanyi Ye, 2024. "Estimating the Impact of Social Distance Policy in Mitigating COVID-19 Spread with Factor-Based Imputation Approach," Papers 2405.12180, arXiv.org.

    More about this item

    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:eti:dpaper:22011. 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: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.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.