Skip to content

Latest commit

 

History

History
57 lines (52 loc) · 3.19 KB

BufferStockTheory.md

File metadata and controls

57 lines (52 loc) · 3.19 KB
cff-version message authors title date-released abstract remark-version references repository github_repo_url remark-name title-original-paper notebooks dashboards identifiers-paper date-published-original-paper tags keywords
1.1.0
For a consumption/saving problem with transitory and permanent shocks and unbounded (CRRA) utility, this paper derives conditions under which a nondegenerate solution exists, and under which a target wealth ratio exists; all results are paired with illustrative numerical solutions.
family-names given-names orcid
Carroll
Christopher D.
BufferStockTheory
2020-10-11
This paper builds foundations for rigorous and intuitive understanding of 'buffer stock' saving models (Bewley (1977)-like models with a wealth target), pairing each theoretical result with quantitative illustrations. After describing conditions under which a consumption function exists, the paper articulates stricter Growth Impatience' conditions that guarantee alternative forms of stability --- either at the population level, or for individual consumers. Together, the numerical tools and analytical results constitute a comprehensive toolkit for understanding buffer stock models.
1.0
type authors title doi
article
family-names given-names orcid
Carroll
Christopher D.
Theoretical Foundations of Buffer Stock Saving
BufferStockTheory
Theoretical Foundations of Buffer Stock Saving
BufferStockTheory.ipynb
BufferStockTheory-dashboard.ipynb
2020-09-14
REMARK
Reproduction
Consumption

BufferstockTheory

"This paper builds foundations for rigorous and intuitive understanding of buffer stock' saving models (Bewley (1977)-like models with a wealth target), pairing each theoretical result with quantitative illustrations. After describing conditions under which a consumption function exists, the paper articulates stricter Growth Impatience' conditions that guarantee alternative forms of stability --- either at the population level, or for individual consumers. Together, the numerical tools and analytical results constitute a comprehensive toolkit for understanding buffer stock models.