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Preference responsibility versus poverty reduction in the taxation of labor incomes

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  • Henry de Frahan, Lancelot
  • Maniquet, François

Abstract

We study the tax schemes that maximize social welfare functions built on axioms of responsibility for one’s preferences (the requirement that the social welfare function should treat identically agents with the same wage, independently of their preferences) and poverty reduction. We find zero and negative marginal tax rates on low incomes at the optimum and bunching at the income level of the most hardworking minimum wage households. When preferences are iso-elastic, we derive the optimal tax formula, which we calibrate to the US economy. Our formula approximates the shape of the current US tax function for households with at least one child. This result suggests that a fairness-based approach, and these axioms in particular, can help close the gap between the recommendations of optimal tax theory and actual policies.

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  • Henry de Frahan, Lancelot & Maniquet, François, 2021. "Preference responsibility versus poverty reduction in the taxation of labor incomes," Journal of Public Economics, Elsevier, vol. 197(C).
    • Handle: RePEc:eee:pubeco:v:197:y:2021:i:c:s0047272721000220
    DOI: 10.1016/j.jpubeco.2021.104386
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    1. Domenico Moramarco & Bram De Rock, 2022. "Nonparametric analysis of heterogeneous multidimensional fairness," Working Papers 621, ECINEQ, Society for the Study of Economic Inequality.
    2. Flaviana Palmisano & Ida Petrillo, 2022. "A general rank‐dependent approach for distributional comparisons," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(2), pages 380-409, April.

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    More about this item

    Keywords

    optimal taxation; responsibility; poverty reduction;
    All these keywords.

    JEL classification:

    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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