Description
POSTS
In McKibbin and Fernando (2020), we simulate a global economic model to explore seven scenarios regarding the spread of COVID-19. The G-cubed model is a hybrid of dynamic stochastic general equilibrium (DSGE) models and computable general equilibrium (CGE) models which was developed by McKibbin and Wilcoxen (1999, 2013) and extended to the G20 countries by McKibbin and Triggs (2018). Using this model, we follow the approach to evaluating the economics of SARS (Lee and McKibbin 2003) and pandemic influenza (McKibbin and Sidorenko 2006) to explore a range of different scenarios for the spread of COVID-19. Given a range of epidemiological assumptions, we create a set of filters that convert the epidemiological assumptions into economic shocks to reduced labour supply in each country (mortality and morbidity), rising costs of doing business in each sector (including disruption of production networks in each country), a reduction in consumption due to shifts in consumer preferences over each good from each country (in addition to those changes generated by the model based on changes in income and prices), a rise in equity risk premia on companies in each sector in each country (based on exposure to the disease), and increases in country risk premia based on exposure to the disease as well as vulnerabilities to changing macroeconomic conditions.