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  1. Article: To lockdown? When to peak? Will there be an end? A macroeconomic analysis on COVID-19 epidemic in the United States.

    Ng, Wung Lik

    Journal of macroeconomics

    2020  Volume 65, Page(s) 103230

    Abstract: In this paper, we construct an extended SIR model with agents optimally choosing outdoor activities. We calibrate the model and match it to the data from the United States. The model predicts the epidemic in the United States very well. Without ... ...

    Abstract In this paper, we construct an extended SIR model with agents optimally choosing outdoor activities. We calibrate the model and match it to the data from the United States. The model predicts the epidemic in the United States very well. Without government intervention, our simulation shows that the epidemic peaks on 22 March, 2020 and ends on 29 August, 2022. By the end of the epidemic, more than 21 million people will be infected, and the death toll is close to 3.8 million. We further conduct counterfactual experiments to evaluate the effectiveness of different polices against this pandemic. We find that no single policy can effectively suppress the epidemic, and the most effective policy is a hybrid policy with lockdown and broadening testing. Lockdown policy alone is ineffective in controlling the epidemic as agents would have optimally stayed at home anyway if the infection risk is high even without a lockdown. Broadening testing solely will accelerate the return to normal life as there are fewer infected people hanging around. However, as people do not internalize the social costs of returning to normal life, the epidemic could get even worse. Increasing medical capacity without any other measures only has temporary effects on reducing the death toll. We also find that random testing is too inefficient unless a majority of population is infected.
    Keywords covid19
    Language English
    Publishing date 2020-06-10
    Publishing country United States
    Document type Journal Article
    ISSN 0164-0704
    ISSN 0164-0704
    DOI 10.1016/j.jmacro.2020.103230
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: To lockdown? When to peak? Will there be an end? A macroeconomic analysis on COVID-19 epidemic in the United States

    Ng, Wung Lik

    Journal of Macroeconomics

    2020  Volume 65, Page(s) 103230

    Keywords Economics and Econometrics ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ISSN 0164-0704
    DOI 10.1016/j.jmacro.2020.103230
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: To lockdown? When to peak? Will there be an end? A macroeconomic analysis on COVID-19 epidemic in the United States

    Ng, Wung Lik

    J. Macroecon.

    Abstract: In this paper, we construct an extended SIR model with agents optimally choosing outdoor activities. We calibrate the model and match it to the data from the United States. The model predicts the epidemic in the United States very well. Without ... ...

    Abstract In this paper, we construct an extended SIR model with agents optimally choosing outdoor activities. We calibrate the model and match it to the data from the United States. The model predicts the epidemic in the United States very well. Without government intervention, our simulation shows that the epidemic peaks on 22 March, 2020 and ends on 29 August, 2022. By the end of the epidemic, more than 21 million people will be infected, and the death toll is close to 3.8 million. We further conduct counterfactual experiments to evaluate the effectiveness of different polices against this pandemic. We find that no single policy can effectively suppress the epidemic, and the most effective policy is a hybrid policy with lockdown and broadening testing. Lockdown policy alone is ineffective in controlling the epidemic as agents would have optimally stayed at home anyway if the infection risk is high even without a lockdown. Broadening testing solely will accelerate the return to normal life as there are fewer infected people hanging around. However, as people do not internalize the social costs of returning to normal life, the epidemic could get even worse. Increasing medical capacity without any other measures only has temporary effects on reducing the death toll. We also find that random testing is too inefficient unless a majority of population is infected.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #592032
    Database COVID19

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