Labor Supply Response to Windfall Gains
Dimitris Georgarakos,
Tullio Jappelli (),
Geoff Kenny and
Luigi Pistaferri
No 19150, CEPR Discussion Papers from C.E.P.R. Discussion Papers
Abstract:
Using a large survey of euro area consumers, we design an experiment in which respondents report how they would change the decision to participate in the labor market, the hours worked, and their search effort (if not employed) in response to randomly assigned windfall gain scenarios. Windfall gains reduce labor supply, but only if they are significant in size. At the extensive margin, we find no effect for gains below €25,000, and a decline in the probability of working of 3 percentage points for gains between €25,000 and €100,000. At the intensive margin, there is no effect for small gains, and a drop of roughly one weekly hour for gains above €50,000. Women and workers closer to retirement respond more strongly to windfall gains. Finally, the proportion of those who stop searching for a job or search less intensively falls by 1 percentage point for each €10,000 gain, and the effect is more pronounced for older individuals receiving €100,000.
Date: 2024-06
References: Add references at CitEc
Citations:
Downloads: (external link)
https://cepr.org/publications/DP19150 (application/pdf)
CEPR Discussion Papers are free to download for our researchers, subscribers and members. If you fall into one of these categories but have trouble downloading our papers, please contact us at subscribers@cepr.org
Related works:
Working Paper: Labor Supply Response to Windfall Gains (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:cpr:ceprdp:19150
Ordering information: This working paper can be ordered from
https://cepr.org/publications/DP19150
Access Statistics for this paper
More papers in CEPR Discussion Papers from C.E.P.R. Discussion Papers Centre for Economic Policy Research, 33 Great Sutton Street, London EC1V 0DX.
Bibliographic data for series maintained by ().