The Reconciliation of Micro and Macro Economics
Martin Shubik
No 915, Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University
Abstract:
It is suggested that the appropriate structure for the reconciliation of micro and macroeconomics is an infinite horizon overlapping generations (OLG) model with many finitely lived natural persons and one infinitely lived strategic player without preferences whose choice rule is determined by the periodic political choice of the finitely lived players who are alive and politically strategically active at the time of choice. This player may be interpreted as government. In the steps from the finite horizon general equilibrium (GE) model to the overlapping generations model (GGOLG) it is suggested that even without exogenous uncertainty, if economic efficiency is to be attained it is logically and technologically necessary to introduce government, government money, credit, bankruptcy and inheritance conditions.
Keywords: Government; overlapping generations model; infinite horizon (search for similar items in EconPapers)
Pages: 29 pages
Date: 1989-06
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://cowles.yale.edu/sites/default/files/files/pub/d09/d0915.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 404 Not Found
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:cwl:cwldpp:915
Ordering information: This working paper can be ordered from
Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA
The price is None.
Access Statistics for this paper
More papers in Cowles Foundation Discussion Papers from Cowles Foundation for Research in Economics, Yale University Yale University, Box 208281, New Haven, CT 06520-8281 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Brittany Ladd ().