Alternatives to Paying Child Benefit to the Rich: Means Testing or Higher Tax?
Patricia Apps,
Ray Rees,
Thor Thoresen and
Trine Engh Vattø
No 8405, CESifo Working Paper Series from CESifo
Abstract:
Transferring public benefits to people in no need of them appears to be a waste of public money. Thus, there seems to be support for a move away from universal child benefits and towards means testing. This study presents a critique of this overly-simplistic view and proposes a very simple alternative: instead of withdrawing the transfer as a function of income, which raises marginal tax rates for low and middle income parents, with accompanying detrimental effects on labour supply, redistribution can be achieved by an ambitious universal schedule financed by increased income taxation of the rich. The role of the child benefit is discussed analytically in a piecewise linear schedule. Moreover, the argument is illustrated with reference to the design of the child benefit scheme for Norway, demonstrating the labour supply/redistribution trade-offs of the alternatives by results from simulation models.
Keywords: child benefit; labour supply; income distribution (search for similar items in EconPapers)
JEL-codes: C25 J13 J22 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.cesifo.org/DocDL/cesifo1_wp8405.pdf (application/pdf)
Related works:
Journal Article: Alternatives to Paying Child Benefit to the Rich: Means‐Testing or Higher Tax? (2023) 
Working Paper: Alternatives to paying child benefit to the rich. means testing or higher tax? (2021) 
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:ces:ceswps:_8405
Access Statistics for this paper
More papers in CESifo Working Paper Series from CESifo Contact information at EDIRC.
Bibliographic data for series maintained by Klaus Wohlrabe ().