Corporate Income Tax Gap Estimation by using Bottom-Up Techniques in Selected Countries: Revenue Administration Gap Analysis Program

Patricio Barra, Eric Hutton and Polina Prokof'yeva

No 2023/006, IMF Technical Notes and Manuals from International Monetary Fund

Abstract: This technical note describes bottom-up CIT gap estimation techniques applied by revenue administrations in the following highly experienced countries in this approach: Australia, Brazil, Canada, Denmark, Sweden, the United Kingdom, and the United States. The main topics included in the descriptions are techniques applied, CIT gap results, advantages and disadvantages of different available options, and future developments and recommendations for any revenue administration interested in starting bottom-up CIT gap estimation programs having no prior experience.

Keywords: Tax Administration; Tax Compliance; Corporate Income Tax; Tax Gap; Tax Evasion; Random Audit Program; Risk-Based Audits; bottom-up technique; CIT gap; gap definition; Ra-GAP team; members of the Revenue Administration Gap Analysis Program; Auditing; Revenue Administration Gap Analysis Program (RA-GAP); Small and medium enterprises (search for similar items in EconPapers)
Pages: 37
Date: 2023-10-31
New Economics Papers: this item is included in nep-acc, nep-iue, nep-pbe and nep-pub
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.imf.org/external/pubs/cat/longres.aspx?sk=537786 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:imf:imftnm:2023/006

Ordering information: This working paper can be ordered from
http://www.imf.org/external/pubs/pubs/ord_info.htm

Access Statistics for this paper

More papers in IMF Technical Notes and Manuals from International Monetary Fund International Monetary Fund, Washington, DC USA. Contact information at EDIRC.
Bibliographic data for series maintained by Akshay Modi ().