Objective:
- Develop an ABM model to simulate the epidemic and economic impacts on a large synthetic population
Case:
- New York-Newark-Jersey city
Methodology:
- ABM:
- Infected probability: $P(S_i+I_j \rightarrow L_i+I_j) = 1-e^{-\beta_{type}w_{i,j,p}(t)\Delta t}$
Data Source: Open
- Global positioning system location data: Cuebig
- American community survey
- Bureau of economic analysis
- Bureau of labor statistics
Findings:
- Employment declined more strongly than GDP
- Consumption of goods and services produced by customer-facing industries declined more strongly than consumption of goods and services produced by industries that are not customer facing (i.e., manufacturing, financial service)
- Fear of infection parameter distribution implies a 14% consumption demand reduction in customer-facing industries
Coding Reference:
