We extract aggregate demand and supply shocks for the US economy from real-time survey data on inflation and real GDP growth using a novel identification scheme. Our approach exploits non-Gaussian features of macroeconomic forecast revisions and imposes minimal theoretical assumptions. After verifying that our results for US post-war business cycle fluctuations are largely in line with the prevailing consensus, we proceed to study output and price fluctuations during COVID-19. We attribute two thirds of the decline in 2020:Q1 GDP to a negative shock to aggregate demand. In contrast, regarding the staggeringly large decline in GDP in 2020:Q2, we estimate two thirds of this shock was due to a reduction in aggregate supply. Statistical analysis suggests a slow recovery due to a persistent effect of the supply shock, but surveys suggest a somewhat faster rebound with a recovery in aggregate supply leading the way.
Bekaert, Geert, Eric Engstrom, and Andrey Ermolov. "Aggregate Demand and Aggregate Supply Effects of Covid-19: A Real-time Analysis." Covid Economics 25 (June 3, 2020): 141-168.
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