Public health spending, old-age productivity and economic growth: chaotic cycles under perfect foresight
Luciano Fanti and
Luca Gori ()
MPRA Paper from University Library of Munich, Germany
Abstract:
This paper analyses the dynamics of a double Cobb-Douglas economy with overlapping generations and public health investments that affect the supply of efficient labour of the old-aged. It is shown that the positive steady state of the economy is unique. Moreover, we provide necessary and sufficient conditions for the emergence of endogenous deterministic complex cycles when individuals are perfect foresighted. Interestingly, the equilibrium dynamics shows rather complicated phenomena such as a multiplicity of period-bubbling.
Keywords: OLG model; Productivity; Perfect foresight; Public health expenditure (search for similar items in EconPapers)
JEL-codes: C62 I18 O41 (search for similar items in EconPapers)
Date: 2010-03-11
New Economics Papers: this item is included in nep-age, nep-dge and nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/21335/1/MPRA_paper_21335.pdf original version (application/pdf)
Related works:
Journal Article: Public health spending, old-age productivity and economic growth: Chaotic cycles under perfect foresight (2011) 
Journal Article: Public health spending, old-age productivity and economic growth: Chaotic cycles under perfect foresight (2011) 
Working Paper: Public health spending; old-age productivity and economic growth: chaotic cycles under perfect foresight (2011) 
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:pra:mprapa:21335
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().