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Economic Impact of Targeted Government Responses to COVID-19: Evidence from the First Large-scale Cluster in Seoul

Author

Listed:
  • Shin, Jinwook

    (Seoul National University)

  • Kim, Seonghoon

    (Singapore Management University)

  • Koh, Kanghyock

    (Korea University)

Abstract
We estimate the economic impact of South Korea's targeted responses to the first large-scale COVID-19 cluster in Seoul. We find that foot traffic and retail sales decreased only within a 300 meter radius of the cluster and recovered to its pre-outbreak level after four weeks. The reductions appear to be driven by temporary business closures rather than the risk avoidance behavior of the citizens. Our results imply that less intense, but more targeted COVID-19 interventions, such as pin-pointed, temporary closures of businesses, can be a low-cost alternative after lifting strict social distancing measures.

Suggested Citation

  • Shin, Jinwook & Kim, Seonghoon & Koh, Kanghyock, 2020. "Economic Impact of Targeted Government Responses to COVID-19: Evidence from the First Large-scale Cluster in Seoul," IZA Discussion Papers 13575, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp13575
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    References listed on IDEAS

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    1. Coibion, Olivier & Gorodnichenko, Yuriy & Weber, Michael, 2020. "The Cost of the COVID-19 Crisis: Lockdowns, Macroeconomic Expectations, and Consumer Spending," Department of Economics, Working Paper Series qt4jn1x65h, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    2. 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.
    3. Alexander Chudik & M. Hashem Pesaran & Alessandro Rebucci, 2020. "Voluntary and Mandatory Social Distancing: Evidence on COVID-19 Exposure Rates from Chinese Provinces and Selected Countries," Globalization Institute Working Papers 382, Federal Reserve Bank of Dallas.
    4. Pablo D. Fajgelbaum & Amit Khandelwal & Wookun Kim & Cristiano Mantovani & Edouard Schaal, 2021. "Optimal Lockdown in a Commuting Network," American Economic Review: Insights, American Economic Association, vol. 3(4), pages 503-522, December.
    5. Luiz Brotherhood & Philipp Kircher & Cezar Santos & Michèle Tertilt, 2020. "An Economic Model of the Covid-19 Epidemic: The Importance of Testing and Age-Specific Policies," CESifo Working Paper Series 8316, CESifo.
    6. Kim, Seonghoon & Koh, Kanghyock & Zhang, Xuan, 2020. "Short-Term Impact of COVID-19 on Consumption and Labor Market Outcomes: Evidence from Singapore," IZA Discussion Papers 13354, Institute of Labor Economics (IZA).
    7. Diane Alexander & Ezra Karger, 2023. "Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior," The Review of Economics and Statistics, MIT Press, vol. 105(4), pages 1017-1027, July.
    8. Scott R Baker & Robert A Farrokhnia & Steffen Meyer & Michaela Pagel & Constantine Yannelis & Jeffrey Pontiff, 0. "How Does Household Spending Respond to an Epidemic? Consumption during the 2020 COVID-19 Pandemic," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 10(4), pages 834-862.
    9. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    10. Pope, Jaren C., 2008. "Fear of crime and housing prices: Household reactions to sex offender registries," Journal of Urban Economics, Elsevier, vol. 64(3), pages 601-614, November.
    11. Asger Lau Andersen & Emil Toft Hansen & Niels Johannesen & Adam Sheridan, 2022. "Consumer responses to the COVID‐19 crisis: evidence from bank account transaction data," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(4), pages 905-929, October.
    12. Brotherhood, Luiz & Kircher, Philipp & Santos, Cezar & Tertilt, Michèle, 2020. "An economic model of the Covid-19 epidemic: The importance of testing and age-specific policies," CEPR Discussion Papers 14695, C.E.P.R. Discussion Papers.
    13. Kim, Seonghoon & Lee, Kwan Ok, 2018. "Potential crime risk and housing market responses," Journal of Urban Economics, Elsevier, vol. 108(C), pages 1-17.
    14. Carvalho, V & Garcia, Juan R. & Hansen, S. & Ortiz, A. & Rodrigo, T. & More, J. V. R., 2020. "Tracking the COVID-19 Crisis with High-Resolution Transaction Data," Cambridge Working Papers in Economics 2030, Faculty of Economics, University of Cambridge.
    15. Alexander W. Bartik & Marianne Bertrand & Zoe Cullen & Edward L. Glaeser & Michael Luca & Christopher Stanton, 2020. "The impact of COVID-19 on small business outcomes and expectations," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(30), pages 17656-17666, July.
    16. Leigh Linden & Jonah E. Rockoff, 2008. "Estimates of the Impact of Crime Risk on Property Values from Megan's Laws," American Economic Review, American Economic Association, vol. 98(3), pages 1103-1127, June.
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    Cited by:

    1. Muhammad Asali, 2021. "The New Performance Index: An application to COVID-19 era," Working Papers 003-21, International School of Economics at TSU, Tbilisi, Republic of Georgia.

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    More about this item

    Keywords

    retail sales; foot traffic; risk avoidance; information disclosure; pandemic; COVID-19; cell phone signal data; card transaction data;
    All these keywords.

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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