Machine Learning a Ramsey Plan
Thomas J. Sargent and
Ziyue Yang
Quarterly Review, 2025, vol. 45, issue 1
Abstract:
We use a Python program to calculate a pair of infinite sequences of money creation and price level inflation rates that maximize a benevolent time 0 government’s quadratic objective function for a linear-quadratic version of Calvo (1978). The program computes an open-loop representation of the optimal plan and an associated monotonically declining, bounded from below sequence of continuation values whose limit is a worst continuation value that is associated with a “timeless perspective”. We run some least squares regressions on fake data to try to learn about the structure of the optimal plan but are stymied by not knowing which variables should be on the right and left sides of our regressions. We use literary arguments to decide this question, but they are inconclusive.
Keywords: Time inconsistency; Artificial intelligence; Money supply; Inflation; Closed loop; Fake data; Machine learning; Open loop; Ramsey plan (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.minneapolisfed.org/research/qr/qr4511.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden (https://www.minneapolisfed.org/research/qr/qr4511.pdf [301 Moved Permanently]--> https://researchdatabase.minneapolisfed.org/downloads/pv63g053w)
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:fedmqr:101143
DOI: 10.21034/qr.4511
Access Statistics for this article
More articles in Quarterly Review from Federal Reserve Bank of Minneapolis Contact information at EDIRC.
Bibliographic data for series maintained by Kate Hansel ().