Generational Distribution of Fiscal Burdens: A Positive Analysis
Yuki Uchida and
Tetsuo Ono
MPRA Paper from University Library of Munich, Germany
Abstract:
This study presents a political economy model with overlapping generations to analyze the effects of population aging on fiscal policy formation and the resulting distribution of the fiscal burden across generations. The analysis focuses on the role of endogenous labor supply and shows that increased political weight of the old, arising from population aging, leads to an increase in the ratios of public debt and labor income tax revenue to GDP and an initial decrease followed by an increase in the ratio of capital income tax revenue to GDP. The result fits well with the evidence in OECD countries.
Keywords: Generational burden; Overlapping generations; Political economy; Population aging; Public debt (search for similar items in EconPapers)
JEL-codes: D70 E24 E62 H60 (search for similar items in EconPapers)
Date: 2021-05-14
New Economics Papers: this item is included in nep-age, nep-dem, nep-dge and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/108439/1/MPRA_paper_108439.pdf original version (application/pdf)
Related works:
Journal Article: Generational Distribution of Fiscal Burdens: A Positive Analysis (2024) 
Working Paper: Generational Distribution of Fiscal Burdens: A Positive Analysis (2023) 
Working Paper: Generational Distribution of Fiscal Burdens: A Positive Analysis (2021) 
Working Paper: Generational Distribution of Fiscal Burdens: A Positive Analysis (2020) 
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:108439
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 ().