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Estimación de la brecha fiscal (tax gap) en el IRPF, 2003-2022

Author

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  • Jaime Vallés Giménez
  • Anabel Zárate Marco

Abstract

En el Impuesto sobre la Renta de las Personas Físicas (en adelante, IRPF) los individuos declaran voluntariamente la renta obtenida durante el período impositivo, determinan su deuda tributaria y, finalmente, la pagan. Esta voluntariedad en la obligación tributaria hace que el cumplimiento fiscal, en ocasiones, no sea total, bien porque no se presenta la declaración (nonfiling gap), porque no se declara toda la renta (underreporting gap), o porque no se paga en su totalidad la cuota tributaria (underpayment gap). La diferencia entre lo que los contribuyentes pagan de impuestos y lo que deberían pagar si cumplieran completamente con la legislación fiscal constituye el fraude, evasión o brecha fiscal (tax gap).

Suggested Citation

  • Jaime Vallés Giménez & Anabel Zárate Marco, 2026. "Estimación de la brecha fiscal (tax gap) en el IRPF, 2003-2022," Studies on the Spanish Economy eee2026-03, FEDEA.
    • Handle: RePEc:fda:fdaeee:eee2026-03
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    References listed on IDEAS

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    1. Thomas Piketty & Emmanuel Saez & Stefanie Stantcheva, 2014. "Optimal Taxation of Top Labor Incomes: A Tale of Three Elasticities," American Economic Journal: Economic Policy, American Economic Association, vol. 6(1), pages 230-271, February.
    2. Diego Martinez-Lopez, 2013. "The underreporting of income by self-employed workers in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 4(4), pages 353-371, November.
    3. Naomi E. Feldman & Joel Slemrod, 2007. "Estimating tax noncompliance with evidence from unaudited tax returns," Economic Journal, Royal Economic Society, vol. 117(518), pages 327-352, March.
    4. Joel Slemrod & Caroline Weber, 2012. "Evidence of the invisible: toward a credibility revolution in the empirical analysis of tax evasion and the informal economy," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(1), pages 25-53, February.
    5. Schneider, Friedrich, 2005. "Shadow economies around the world: what do we really know?," European Journal of Political Economy, Elsevier, vol. 21(3), pages 598-642, September.
    6. Nikolaos Artavanis & Adair Morse & Margarita Tsoutsoura, 2016. "Measuring Income Tax Evasion Using Bank Credit: Evidence from Greece," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(2), pages 739-798.
    7. repec:hal:pseose:halshs-00944873 is not listed on IDEAS
    8. Julio López-Laborda & Jaime Vallés-Giménez & Anabel Zárate-Marco, 2021. "Personal Income Tax Compliance at the Regional Level: The Role of Persistence, Neighborhood, and Decentralization," International Regional Science Review, , vol. 44(2), pages 289-317, March.
    9. Alm, James & Bahl, Roy & Murray, Matthew N, 1991. "Tax Base Erosion in Developing Countries," Economic Development and Cultural Change, University of Chicago Press, vol. 39(4), pages 849-872, July.
    10. Pissarides, Christopher A. & Weber, Guglielmo, 1989. "An expenditure-based estimate of Britain's black economy," Journal of Public Economics, Elsevier, vol. 39(1), pages 17-32, June.
    11. Dominik H. Enste & Friedrich Schneider, 2000. "Shadow Economies: Size, Causes, and Consequences," Journal of Economic Literature, American Economic Association, vol. 38(1), pages 77-114, March.
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