This paper investigates the implications of sector-specific credit supply shocks on real economic activity in the United States during the past 66 years. These sectors include private households, non-financial corporations, and banks. Within a structural vector autoregression (SVAR) framework, I employ a unique sign-restriction strategy to identify one monetary policy shock, two aggregate macroeconomic shocks, and three credit supply shocks. I find evidence that credit supply shocks not only vary by the sectors in which they arise, but also by their consequences for business cycle dynamics. Credit shocks originating in the banking sector can explain up to 25% of output fluctuations while those arising in the household and corporate sectors can explain up to 15%. In addition, household and bank credit shocks may hold long-run consequences for inflation explaining up to 15% of its fluctuations. Within a historical context, the model identifies several periods where credit supply has been a significant driver of GDP. With respect to the recent financial crisis, the model uncovers a smaller role for credit shocks relative to aggregate supply shocks than is typically found in the literature. This supports recent empirical evidence suggesting that the early stages of the crisis were more reminiscent of an oil price shock recession.
原文链接:
https://editorialexpress.com/cgi-bin/conference/download.cgi?db_name=AFAPS2020&paper_id=324