Learning Financial Shocks and the Great Recession

B-Tier
Journal: Review of Economic Dynamics
Year: 2019
Volume: 31
Pages: 123-146

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper develops a simple business-cycle model in which financial shocks have large macroeconomic effects when private agents are gradually learning the uncertain environment. Agents update their beliefs about the reduced-form structure of the economy. Because the persistence of leverage is overestimated by adaptive learners, the responses of output, investment, and other aggregates under adaptive learning are significantly larger than under rational expectations. In our benchmark case calibrated using US data on leverage, debt-to-GDP and land value-to-GDP ratios for 1996Q1–2008Q4, learning amplifies leverage shocks by a factor of about three, relative to rational expectations. When fed with actual leverage innovations observed over that period, the learning model predicts that the persistence of leverage shocks is increasingly overestimated after 2002 and that a sizeable recession occurs in 2008–2010, while its rational expectations counterpart predicts a counter-factual expansion. In addition, we show that procyclical leverage reinforces the amplification due to learning and, accordingly, that macro-prudential policies that enforce countercyclical leverage dampen the effects of leverage shocks. (Copyright: Elsevier)

Technical Details

RePEc Handle
repec:red:issued:18-210
Journal Field
Macro
Author Count
2
Added to Database
2026-01-29