Expectations and Stability in the Kaleckian Growth Model
Gilberto Lima and
Mark Setterfield
No 1602, Working Papers from New School for Social Research, Department of Economics
Abstract:
A central element in the canonical Kaleckian growth model is the demand-led output-adjustment stability condition known as the Keynesian stability condition. This condition requires that, all else constant, saving be more responsive to changes in capital capacity utilization than investment. This paper further explores the plausibility of the Keynesian stability condition by enriching the Kaleckian growth model with a more fully developed Keynesian theory of expectations formation. As a result, the responsiveness of investment to changes in capacity utilization is reduced, and through mechanisms that have clear and plausible behavioural underpinnings. It therefore becomes more likely (in principle) that the Keynesian stability condition will hold in practice. The paper also explores the consequences of such re-specification of investment behaviour for certain comparative static results associated with the canonical Kaleckian growth model.
Keywords: Keynesian stability condition; expectations; Kaleckian growth model (search for similar items in EconPapers)
JEL-codes: B50 E12 E22 (search for similar items in EconPapers)
Pages: 22 pages
Date: 2016-04
New Economics Papers: this item is included in nep-mac, nep-net and nep-pke
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.economicpolicyresearch.org/econ/2016/NSSR_WP_022016.pdf First version, 2016 (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:new:wpaper:1602
Access Statistics for this paper
More papers in Working Papers from New School for Social Research, Department of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Mark Setterfield ().