Epidemic-Macro Model Data Base

 Eichenbaum et al. (2020) developed a “SIR-macro” model which is often used as a basis in the recent highly developed literature on covid pandemic. The model embeds a simple economy with the epidemiological SIR part based on Kermack and McKendrick (1927). In reality, the pandemic spread with heterogeneity - including age, region and occupation. Appropriate policy responses should take these heterogeneities into consideration. What to do on the epi-mmb? Model: ERT_21_NK, GP_20, KUX_20, CF_20 Shocks: Initial infections of 0.1% of the population Variables: Consumption, Labour, Output, Susceptibles, Infected, Deaths These models are based on ERT_21_NK, but slightly differ in several dimensions. GP_20 incorporates age-specific socio-economic interactions to study the role of demographic factors in the COVID-19 epidemic evolution, KUX_20 features heterogeneous production sectors of consumption goods, and CF_20 added multiple locations and travel cost to the model to study the optimal impleme

Why is it interesting? The interaction between the epidemic and the macro economy can be modelled in different ways. This comparison shows the main differences between a one-way and a two-way interaction epidemic macro model. In the one-way interaction model (Atkeson 2020), the epidemic has an impact on the economy but agents cannot influence the evolution of the epidemic through their decisions. In contrast, the Eichenbaum, Rebelo and Trabandt (2021) model features a two-way interaction between the epidemic and the macro economy. What to do on the Epi-MMB? Models: ERT_21_Epi, A_20 Shocks: Initial infections of 0.1% of the population Variables: Susceptibles, Infected, Recovered What is interesting? The impulse responses to an initial infections shock where 0.1 percent of the population gets infected significantly differ for the two models. In the ERT_21_Epi model, agents decide to cut back consumption and hours worked to mitigate the risk of becoming infected. Omitting this motive in t