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Federal Tax Crimes, 2013

Authors: John A. Townsend;

Federal Tax Crimes, 2013

Abstract

This is the 2013 01 edition of the Federal Tax Crimes book that I started many years ago for use in a Tax Fraud and Money Laundering course at the University of Houston Law School. With some colleagues, we substantially revised that earlier version into a separately targeted book, titled Tax Crimes published by LEXIS-NEXIS. The full title of the LEXIS-NEXIS book is John Townsend, Larry Campagna, Steve Johnson and Scott Schumacher, Tax Crimes (LEXIS-NEXIS Graduate Tax Series 2008). This pdf text offered here is a self-published version of my original text that I have kept up since publication of the LEXIS-NEXIS book. The LEXIS-NEXIS book is more suitable for students in a classroom setting and is targeted specifically for graduate tax students. This pdf book I make available here is not suitable for students in a class setting, but is more suitable for lawyers in practice, covering far more topics and with far more detail and footnotes that may be helpful to the busy practitioner. It cannot be used fruitfully for the target audience of the LEXIS-NEXIS book.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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