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Using Consumption Data to Derive Optimal Income and Capital Tax Rates

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  • Christian Hellwig

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Nicolas Werquin

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

We study optimal tax design based on the idea that policy-makers face trade-offs between multiple margins of redistribution. Within a Mirrleesian economy with earnings, consumption and retirement savings, we derive a novel formula for optimal income and savings distortions based on redistributional arbitrage. We establish a sufficient statistics representation of the labor income and capital tax rates on top income earners in dynamic environments, which relies on the observed distributions of both income and consumption. Because consumption has a thinner Pareto tail than income, our quantitative results suggest that it is optimal to shift a substantial fraction of the top earners' tax burden from income to savings.

Suggested Citation

  • Christian Hellwig & Nicolas Werquin, 2025. "Using Consumption Data to Derive Optimal Income and Capital Tax Rates," Working Papers hal-05119438, HAL.
    • Handle: RePEc:hal:wpaper:hal-05119438
    Note: View the original document on HAL open archive server: https://hal.science/hal-05119438v1
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    2. Paweł Doligalski & Piotr Dworczak & Mohammad Akbarpour & Scott Duke Kominers*, 2025. "Optimal Redistribution via Income Taxation and Market Design," Bristol Economics Discussion Papers 25/787, School of Economics, University of Bristol, UK.
    3. Antoine Ferey & Benjamin B. Lockwood & Dmitry Taubinsky, 2024. "Sufficient Statistics for Nonlinear Tax Systems with General Across-Income Heterogeneity," American Economic Review, American Economic Association, vol. 114(10), pages 3206-3249, October.

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