Post-Keynesian growth theory and the supply side: a feminist-structuralist approach
Mark Setterfield
No 2302, Working Papers from New School for Social Research, Department of Economics
Abstract:
Post-Keynesian macrodynamics is designed to extend the role of demand in the determination of real economic outcomes beyond the short run. The purpose of this paper is to highlight the importance of supply-side considerations in demand-led growth. Building on existing features of the supply side in Post-Keynesian growth theory, three new developments are highlighted: human capital accumulation, the social reproduction of labour, and the supply-side link between distribution and growth. These new developments are shown to yield new insights into the established themes of reconciling demand and supply in the theory of long-run growth, and the relationship between distribution and growth. Furthermore, the feminist-structuralist model used to explore the social reproduction of labour is shown to be a potential general framework for synthesizing these insights.
Keywords: Demand-led growth; potential rate of growth; technical change; human capital; human capacities; care-giving (search for similar items in EconPapers)
JEL-codes: B54 E11 E12 O41 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2023-01
New Economics Papers: this item is included in nep-hme and nep-pke
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.economicpolicyresearch.org/econ/2023/NSSR_WP_022023.pdf First version, 2023 (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:2302
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 ().