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Toward an Understanding of Tax Amnesties: Theory and Evidence from a Natural Field Experiment

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  • Patricia Gil
  • Justin Holz
  • John List
  • Andrew Simon
  • Alejandro Zentner

Abstract

In modern economies, when debt and trust issues arise, a partial forgiveness policy is often the solution to induce payment and increase disclosure. For their part, governments around the globe continue to use tax amnesties as a strategy to allow debtors to make amends for past misdeeds in exchange for partial debt forgiveness. While ubiquitous, much remains unknown about the basic facts of how well amnesties work, for whom, and why. We present a simple theoretical construct that provides both economic clarity into tax amnesties as well as insights into the necessary behavioral parameters that one must estimate to understand the consequences of tax amnesties. We partner with the Dominican Republic Tax Authorities to design a natural field experiment that is linked to the theory to estimate key causal mechanisms. Empirical results from our field experiment, which covers 125,452 taxpayers who collectively owe $5.2 billion (5.5% of GDP) in known debt, highlight the import of deterrence laws, beliefs about future amnesties, and tax morale for debt payment and increased disclosure. Importantly, we find large short run effects: our most effective treatment (deterrence) increased payments of known debt by 25% and hidden debt by 48%. Further, we find no evidence of our intervention backfiring on subsequent tax payments.

Suggested Citation

  • Patricia Gil & Justin Holz & John List & Andrew Simon & Alejandro Zentner, 2023. "Toward an Understanding of Tax Amnesties: Theory and Evidence from a Natural Field Experiment," Natural Field Experiments 00772, The Field Experiments Website.
  • Handle: RePEc:feb:natura:00772
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue

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