Unemployment Insurance when the Wealth Distribution Matters
Facundo Piguillem,
Hernán Ruffo and
Nicholas Trachter
No 23-08, Working Paper from Federal Reserve Bank of Richmond
Abstract:
This paper analyzes the welfare effects of unemployment insurance in a life-cycle model, focusing on partial vs. general equilibrium effects. We study an OLG economy with learning-by-doing human capital accumulation. Agents can be employed or unemployed. While unemployed agents costly search for new jobs. We calibrate the model to the U.S. economy, and find that replacement ratio and potential duration are close to the current one. But, in contrast with the previous literature, we find that the optimal policies under general and partial equilibrium are almost the same. Through a series of exercises we conclude that the life-cycle model provides two key components, crucial for welfare evaluation: it emphasizes workers' insurance needs by accurately reproducing the left tail of the wealth distribution, and generates a realistic response of precautionary savings to transfers.
Keywords: wealth distribution; unemployment insurance (search for similar items in EconPapers)
Pages: 56
Date: 2023-06
New Economics Papers: this item is included in nep-dge
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.richmondfed.org/-/media/RichmondFedOrg ... ers/2023/wp23-08.pdf Working Paper (application/pdf)
Related works:
Working Paper: Unemployment Insurance when the Wealth Distribution Matters (2023) 
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:fip:fedrwp:96400
Ordering information: This working paper can be ordered from
Access Statistics for this paper
More papers in Working Paper from Federal Reserve Bank of Richmond Contact information at EDIRC.
Bibliographic data for series maintained by Christian Pascasio ().