EconPapers    
Economics at your fingertips  
 

Sequence-Space Jacobians of Life-Cycle Models

Bence Bardóczy, Akshay Shanker () and Mateo Velásquez-Giraldo
Additional contact information
Bence Bardóczy: https://www.federalreserve.gov/econres/bence-a-bardoczy.htm

No 2026-046, Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (U.S.)

Abstract: The sequence-space Jacobian (SSJ) method of Auclert et al. (2021a) has made heterogeneous-agent models far easier to solve, fueling an explosion of applications. But even SSJ strains against capacity constraints when state spaces grow very large, as in economies with overlapping generations of heterogeneous agents (HA-OLG). We show how to exploit the special properties of age—finite planning horizons and deterministic transitions between ages—to compute the Jacobians of a general class of HA-OLG models orders of magnitude faster. We provide rigorous proofs, age-specific Jacobians that decompose aggregate dynamics across cohorts, an application to the dynamic general-equilibrium effects of secularly declining birth rates, and an accessible cookbook for adopting our method.

Keywords: life cycle; heterogeneous-agent models; sequence-space Jacobian; population aging; R-star (search for similar items in EconPapers)
JEL-codes: C61 C63 D15 (search for similar items in EconPapers)
Pages: 65 p.
Date: 2026-06-24
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.federalreserve.gov/econres/feds/files/2026046pap.pdf Full text (application/pdf)

Related works:
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:fip:fedgfe:103447

DOI: 10.17016/FEDS.2026.046

Access Statistics for this paper

More papers in Finance and Economics Discussion Series from Board of Governors of the Federal Reserve System (U.S.) Contact information at EDIRC.
Bibliographic data for series maintained by Ryan Wolfslayer ; Keisha Fournillier ().

 
Page updated 2026-06-28
Handle: RePEc:fip:fedgfe:103447