TY - JOUR
T1 - Japan’s voluntary lockdown
T2 - further evidence based on age-specific mobile location data
AU - Watanabe, Tsutomu
AU - Yabu, Tomoyoshi
N1 - Funding Information:
We would like to thank Austan Goolsbee, Takeo Hoshi, Keiichiro Kobayashi, Takayuki Mizuno, Makoto Nirei, Yasutoshi Nishimura, Takaaki Ohnishi, Ralph Paprzycki, Chad Syverson, and David Weinstein for helpful discussions and comments. We are also grateful to Takayuki Mizuno for providing us with the data for the stay-at-home measure, and to Ayaka Nakahara for research assistance. This research forms part of the project on “Central Bank Communication Design” funded by the JSPS Grant-in-Aid for Scientific Research No. 18H05217. Tomoyoshi Yabu gratefully acknowledges financial support from the JSPS through the Grant-in-Aid for Scientific Research No. 20K01594.
Funding Information:
TW acknowledges financial support from JSPS through the Grant-in-Aid for Scientific Research No. 18H05217. TY acknowledges financial support from the JSPS through the Grant-in-Aid for Scientific Research No. 20K01594.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/7
Y1 - 2021/7
N2 - 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.
AB - 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.
KW - Age-specific mobile location data
KW - Covid-19
KW - Lockdown
KW - Pandemic
KW - Social behavior change
KW - State of emergency
KW - Stay at home
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U2 - 10.1007/s42973-021-00077-9
DO - 10.1007/s42973-021-00077-9
M3 - Article
AN - SCOPUS:85108298704
SN - 1352-4739
VL - 72
SP - 333
EP - 370
JO - Japanese Economic Review
JF - Japanese Economic Review
IS - 3
ER -