2015
DOI: 10.2139/ssrn.2687558
|View full text |Cite
|
Sign up to set email alerts
|

The Tail that Wags the Economy: Belief-Driven Business Cycles and Persistent Stagnation

Abstract: The "Great Recession" was a deep downturn with long-lasting effects on credit markets, labor markets and output. We explore a simple explanation: This recession has been more persistent than others because it was perceived as an extremely unlikely event before2007. Observing such an episode led all agents to re-assess macro risk, in particular, the probability of tail events. Since changes in beliefs endure long after the event itself has passed and through its effects on prices and choices, it produces long-l… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
27
0
3

Year Published

2015
2015
2024
2024

Publication Types

Select...
8
1
1

Relationship

1
9

Authors

Journals

citations
Cited by 38 publications
(31 citation statements)
references
References 48 publications
1
27
0
3
Order By: Relevance
“…One reason for this tight connection is that agents know exactly when the volatility shifts. A more elaborate stochastic structure on information in which agents receive only noisy signals of the underlying aggregate shocks, such as in Kozlowski, Veldkamp, and Venkateswaran (2016), would allow the model to break this tight connection. Another reason is that we have abstracted from other mechanisms, such as adjustment costs in debt or in labor, search frictions, and so on, that stretch out the impact of shocks on aggregates.…”
Section: Baseline Modelmentioning
confidence: 99%
“…One reason for this tight connection is that agents know exactly when the volatility shifts. A more elaborate stochastic structure on information in which agents receive only noisy signals of the underlying aggregate shocks, such as in Kozlowski, Veldkamp, and Venkateswaran (2016), would allow the model to break this tight connection. Another reason is that we have abstracted from other mechanisms, such as adjustment costs in debt or in labor, search frictions, and so on, that stretch out the impact of shocks on aggregates.…”
Section: Baseline Modelmentioning
confidence: 99%
“…One interpretation is that this increase 24. Kozlowski, Veldkamp, and Venkateswaran (2018) offer a quantitative theory along these lines.…”
Section: Via Interpretation Of Rising Risk Premiamentioning
confidence: 99%
“…The model deviates from this standard setup in two respects: First, firms produce subject to a working capital constraint, where the tightness of the constraint depends on how "local" (island-specific) 8 Two other related strands of the literature study the propagation of exogenous uncertainty through real options as in Bloom (2009), Bloom et al (2014, and Bayer (2009, 2013), and through risk premia as in the time-varying (disaster) risk literature (e.g., Gabaix, 2012;Gourio, 2012). Related to the latter, Kozlowski, Veldkamp and Venkateswaran (2015) explore a model where agents learn about tail-risks and where belief revisions after short-lived financial shocks can have long-lasting effects. Similar, Nimark (2014) presents a mechanism that increases uncertainty after rare events, if news selectively focus on outliers.…”
Section: Modelmentioning
confidence: 99%