(total reading time: 3 mins)
We focus in on the surprisingly low cases in Japan for our COVID tracker today. Despite having one of the world’s oldest populations it has recorded fewer cases than Czech Republic or Australia who have much smaller population and, of course, are further from China. With schools set to re-open testing may be stepped up and a surge in new cases is very possible.
For our Deep Dives today we focus on a key element of every central bank toolkit, the DSGE model. With central banks currently recalibrating their models to try to estimate the size of the shock from the coronavirus a recap on the limitations and extensions of these models seems particularly timely. We also incorporate the findings of a NY Fed paper looking at how these models performed during the financial crisis.
• One of the puzzles during this COVID era has been Japan. It has one of the oldest populations in the world and is next to China, yet it has only reported 1,200 cases of COVID. That’s less than Australia or the Czech Republic.
• Compared to other industrialised Asia-pac countries, Japan is at lowest levels whether one looks cumulatively or in recent daily changes (see first two charts).
• Only Taiwan is comparable. But Taiwan has been extremely pro-active in terms of its suppression strategy whether limiting travellers from China early on and extensive tracking and testing.
Demystifying the DSGE Model (7 min read) DSGE models were bashed during the Great Recession for their inability to foresee the crisis. Yet, they are still central banks’ go-to macroeconomic tool to predict business cycle fluctuations, perform policy analysis, and communicate monetary policy expectations. Despite their negative press and widespread use, these models remain less well-known outside the macro circle. Here, in Part 1, we demystify the DSGE Model. In Part 2, we cover its limitations and introduce extensions of DSGE models.
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