Fat‐tailed DSGE models: A survey and new results

Chetan Dave and Marco Sorge

Journal of Economic Surveys, 2025, vol. 39, issue 1, 146-171

Abstract: We review recent advances in dynamic stochastic general equilibrium theory concerned with the emergence of fat‐tailed time‐series distributions. Focusing on mechanisms that are firmly grounded in structural equilibrium models, we provide a common reference framework to organize existing contributions according to whether they entail extreme business cycle swings as an endogenous response to small and short‐lived shocks (“thin in, fat out”), or rather as an automatic consequence of large and/or heteroskedastic exogenous impulses (“fat in, fat out”). Within the former class, non‐Gaussian features of equilibrium patterns can endogenously emerge in fully rational, Gaussian environments. Using an empirically plausible real business cycle framework, we also report novel simulation‐based evidence that helps reconcile theoretical predictions with the documented higher‐order properties of time‐series data for output measures.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/joes.12612

Related works:
Working Paper: Fat Tailed DSGE Models: A Survey and New Results (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:jecsur:v:39:y:2025:i:1:p:146-171

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0950-0804

Access Statistics for this article

More articles in Journal of Economic Surveys from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().