• Graduate program
    • Why Tinbergen Institute?
    • Program Structure
    • Courses
    • Course Registration
    • Facilities
    • Admissions
    • Recent PhD Placements
  • Research
  • News
  • Events
    • Summer School
      • Inequalities in Health and Healthcare
      • Research on Productivity, Trade, and Growth
      • Behavioral Macro and Complexity
    • Events Calendar
    • Tinbergen Institute Lectures
    • Annual Tinbergen Institute Conference
    • Events Archive
  • Alumni
  • Times
Home | Events Archive | Buying Time to Save Lives: Evaluating COVID-19 Lockdown Policies Using a Behavioral SEIR Model
Research Master Defense

Buying Time to Save Lives: Evaluating COVID-19 Lockdown Policies Using a Behavioral SEIR Model


  • Series
    Research Master Defense
  • Speaker
    Xu Lin
  • Location
    Online
  • Date and time

    August 23, 2021
    16:00 - 17:00

This thesis provides a behavioral SEIR model for the ongoing COVID-19 pandemic, and evaluates various lockdown policies based on the saved value of statistical lives. The behavioral SEIR model introduces new and more transmissible variants, vaccines with stochastic arrival time, seasonality feature of virus transmission, and the behavioral change due to fear of contagion. Individuals update their beliefs on the COVID-19 mortality rate over time based on up-to-date information, creating a time lag between belief and the actual time path of the death rate. Based on the simulation from the behavioral SEIR model, we evaluate various lockdown policies by the saved value of statistical lives they offer, since lockdown policies grant more people the opportunity, or a binary option in effect, to get vaccinated in the future and avoid more deaths which is the ultimate form of irreversibility. The option value makes up a significant share of the total value generated by lockdowns and it depends on the uncertainty regarding the vaccine arrival rate and rollout speed. To save more lives and life years for its own population, the government is willing to pay more upfront foran earlier vaccine arrival and a faster vaccine rollout.