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Do Human Restriction Mobility Policy in Indonesia effectively reduce The Spread of COVID-19

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  • Satyakti, Yayan

Abstract

Since COVID-19 spread across the globe. Every country has attempted to reduce the spread by containment policy. Indonesia as one of the hot spot countries in South East Asia has been conduct this policy to reduce the spread. The Indonesian government introduce partial lockdown policy that called as Large Scale of Social Restriction (PSBB) in some regions. This paper examined the interaction between restriction of human mobility policy on spreading of COVID-19 confirmed case. I proxied human mobility dataset by hourly report of car congestion traffic from Waze application with sub level district. The COVID-19 confirm case retrieved from official government report with province level. In order to measure the impact of this policy, I conducted regression discontinuity design using consistent panel dataset across sub level district and daily frequency. The result indicates that the containment policy has various impact on other reduce. The policy that impact in adequate region such as DKI Jakarta has effectively reduced about 60%-70% of spreading COVID-19 confirmed case. Whereas the region with vast area such as West Java is depend on neighbor area less effectively impact on spreading COVID-19 confirm case. The model has produced robust estimation that containment policy will reduced human mobility on COVID-19 confirmed case.

Suggested Citation

  • Satyakti, Yayan, 2020. "Do Human Restriction Mobility Policy in Indonesia effectively reduce The Spread of COVID-19," MPRA Paper 101911, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:101911
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    File URL: https://mpra.ub.uni-muenchen.de/101911/1/MPRA_paper_101911.pdf
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    References listed on IDEAS

    as
    1. Mark Roberts & Frederico Gil Sander & Sailesh Tiwari, 2019. "Time to ACT," World Bank Publications - Books, The World Bank Group, number 31304.
    2. Fernando E. Alvarez & David Argente & Francesco Lippi, 2020. "A Simple Planning Problem for COVID-19 Lockdown," NBER Working Papers 26981, National Bureau of Economic Research, Inc.
    3. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    4. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    5. Keele, Luke J. & Titiunik, Rocío, 2015. "Geographic Boundaries as Regression Discontinuities," Political Analysis, Cambridge University Press, vol. 23(1), pages 127-155, January.
    6. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    7. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    8. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
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    More about this item

    Keywords

    epidemic model; regression discontinuity; econometric; spatial model; Waze; car congestion report.;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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