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Tax Amnesties as Asset Laundering Devices

Listed author(s):
  • Arindam Das-Gupta
  • Dilip Mookherjee

Tax amnesties are frequently offered by governments to induce citizens to voluntarily declare black assets accumulated from past tax evasion, especially in developing countries with a large ,underground' economy. The resulting switch in a citizen asset portfolios in favor of white assets could conceivably enhance compliance following the amnesty. In contrast, if the amnesty is anticipated then it is likely to lower compliance in pre-amnesty years. A dynamic model of tax compliance confirms these conjectures under plausible assumptions, but finds that the effects on net revenue collections from an amnesty may diverge substantially from the effects on compliance. For instance, if the pre-tax rate of return on black assets is higher than on white assets, and taxpayers are risk neutral, then an unanticipated amnesty is shown to lower aggregate net revenues following the amnesty, owing to lowered collection from penalties. On the other hand, positive revenue effects may result from an anticipated amnesty, though such outcomes can be ruled out if black asset stocks are large relative to white, and enforcement is weak. Myopic governments who place a high value on current vis-a-vis future revenues may still declare amnesties as revenue gains from increased compliance are visible and immediate, while reduced collections from penalties are invisible and stretched out into the future. Alternative justifications may be sought in improved risk-sharing between evaders and the government, or resulting economies in prosecution costs, but these require the government to possess detailed information concerning distributions over citizen characteristics in order the set the amnesty rates correctly.

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Paper provided by Boston University, Institute for Economic Development in its series Boston University - Institute for Economic Development with number 69.

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Date of creation: Dec 1995
Handle: RePEc:fth:bosecd:69
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