EconPapers    
Economics at your fingertips  
 

Dynamic Investigations of an Endogenous Business Cycle Model with Heterogeneous Agents

Spiros Bougheas, Pasquale Commendatore, Laura Gardini and Ingrid Kubin ()
Additional contact information
Laura Gardini: University of Urbino Carlo Bo
Ingrid Kubin: Vienna University of Economics and Business

Computational Economics, 2025, vol. 65, issue 2, No 6, 665-689

Abstract: Abstract We introduce agents’ heterogeneity into a model of endogenous business cycles, in which agents can invest either in ‘good’ projects that contribute to future capital formation, or in ‘bad’ projects without that property. The resulting map involves three distinct regimes, two of which we linearize. Using theoretical results on piecewise linear systems and on border collision bifurcations, we are able to provide a thourough analysis of the dynamics.

Keywords: Business cycles; Heterogeneous agents; Piecewise linear systems; Bifurcations (search for similar items in EconPapers)
JEL-codes: C61 E32 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10614-023-10492-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: Dynamic investigations of an endogenous business cycle model with heterogeneous agents (2023) Downloads
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:kap:compec:v:65:y:2025:i:2:d:10.1007_s10614-023-10492-2

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-023-10492-2

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:kap:compec:v:65:y:2025:i:2:d:10.1007_s10614-023-10492-2