Arbeitspapier

Alternatives to paying child benefit to the rich: Means testing or higher tax?

The American Rescue Plan Act of 2021 implies that the US is effectively moving towards a general child benefit. However, the amount paid out is dependent on income, similar to schemes in several other countries. In the present paper, we argue that instead of suppressing the labour supply of middle income parents through withdrawing the transfer as a function of income, one should consider the obvious alternative of financing a generous universal child benefit by changing the overall income tax system. Implications of means testing relative to a tax financed universal alternative are discussed analytically in a piece-wise linear schedule. Moreover, we provide empirical illustrations of effects of child benefit design by combining information from behavioral and non-behavioral microsimulation models, representing the universe of Norwegian households. Results from both the analytical discussion and the simulations question the case for letting the child benefit be means tested.

Sprache
Englisch

Erschienen in
Series: Discussion Papers ; No. 969

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
Fertility; Family Planning; Child Care; Children; Youth
Time Allocation and Labor Supply
Thema
Child benefit design
Labour supply
Income distribution
piecewise linear tax schedule

Ereignis
Geistige Schöpfung
(wer)
Apps, Patricia
Rees, Ray
Thoresen, Thor Olav
Vattø, Trine Engh
Ereignis
Veröffentlichung
(wer)
Statistics Norway, Research Department
(wo)
Oslo
(wann)
2021

Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Apps, Patricia
  • Rees, Ray
  • Thoresen, Thor Olav
  • Vattø, Trine Engh
  • Statistics Norway, Research Department

Entstanden

  • 2021

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