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Flying under the Radar: Ghosts and the Income Tax

Author

Listed:
  • Brian Erard
  • Patrick Langetieg
  • Mark Payne
  • Alan Plumley

Abstract

The tax compliance literature is primarily focused on taxpayers who fail to accurately report their taxes when they file their returns. In this article, our focus is on ‘ghosts’—individuals who do not even file a tax return. To learn more about this relatively understudied population, we examine a combination of US administrative data and matched Census survey data. Our results indicate that 10–12% of US households with a federal filing requirement fail to file a timely income tax return. Approximately 40% of such households do eventually file a late return. However, the tax gap associated with those who never file is substantial, amounting to an estimated $18–20 billion each year. To gain new insights into what drives individuals to become ghosts, we employ a novel econometric methodology (calibrated probit analysis). We find that the failure to file a timely return is negatively associated with age and income, but positively associated with having a high filing burden and being married. Taxpayers with income near the filing threshold are also less likely to file on time, particularly if they are not eligible for a refundable tax credit. We also find evidence of regional variation in filing compliance.

Suggested Citation

  • Brian Erard & Patrick Langetieg & Mark Payne & Alan Plumley, 0. "Flying under the Radar: Ghosts and the Income Tax," CESifo Economic Studies, CESifo Group, vol. 66(3), pages 185-197.
  • Handle: RePEc:oup:cesifo:v:66:y::i:3:p:185-197.
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    File URL: http://hdl.handle.net/10.1093/cesifo/ifz021
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    More about this item

    Keywords

    tax evasion; econometric and statistical methods; discrete regression and qualitative choice models;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H3 - Public Economics - - Fiscal Policies and Behavior of Economic Agents

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