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Japan’s voluntary lockdown: further evidence based on age-specific mobile location data

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  • Tsutomu Watanabe

    (University of Tokyo)

  • Tomoyoshi Yabu

    (Keio University)

Abstract

Changes in people’s behavior during the COVID-19 pandemic can be regarded as the result of two types of effects: the “intervention effect” (changes resulting from government orders for people to change their behavior) and the “information effect” (voluntary changes in people’s behavior based on information about the pandemic). Using age-specific mobile location data, we examine how the intervention and information effects differ across age groups. Our main findings are as follows. First, the age profile of the intervention effect shows that the degree to which people refrained from going out was smaller for older age groups, who are at a higher risk of serious illness and death, than for younger age groups. Second, the age profile of the information effect shows that the degree to which people stayed at home tended to increase with age for weekends and holidays. Thus, while Acemoglu et al. (2020) proposed targeted lockdowns requiring stricter lockdown policies for the oldest group in order to protect those at a high risk of serious illness and death, our findings suggest that Japan’s government intervention had a very different effect in that it primarily reduced outings by the young, and what led to the quarantining of older groups at higher risk instead was people’s voluntary response to information about the pandemic. Third, the information effect has been on a downward trend since the summer of 2020. It is relatively more pronounced among the young, so that the age profile of the information effect remains upward sloping.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:jecrev:v:72:y:2021:i:3:d:10.1007_s42973-021-00077-9
    DOI: 10.1007/s42973-021-00077-9
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    Cited by:

    1. Naoki Tani, 2023. "True Impact of Japan's Covid State of Emergency on Consumption," KIER Working Papers 1092, Kyoto University, Institute of Economic Research.
    2. 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.
    3. 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.
    4. Higo, Masahiro & Shiratsuka, Shigenori, 2023. "Consumer price measurement under the first wave of the COVID-19 spread in Japan: Scanner data evidence for retailers in Tokyo," Japan and the World Economy, Elsevier, vol. 65(C).
    5. Michiru Kaneda & So Kubota & Satoshi Tanaka, 2021. "Who spent their COVID-19 stimulus payment? Evidence from personal finance software in Japan," The Japanese Economic Review, Springer, vol. 72(3), pages 409-437, July.
    6. 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).
    7. 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.
    8. Junichi Kikuchi & Ryoya Nagao & Yoshiyuki Nakazono, 2021. "Fear of COVID-19 Contagion: The Idiosyncratic Effects of an Aggregate Pandemic Shock," ISER Discussion Paper 1144, Institute of Social and Economic Research, Osaka University.
    9. 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.
    10. 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).

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    More about this item

    Keywords

    Covid-19; Pandemic; Social behavior change; Stay at home; Lockdown; State of emergency; Age-specific mobile location data;
    All these keywords.

    JEL classification:

    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • H70 - Public Economics - - State and Local Government; Intergovernmental Relations - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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