This paper analyzes a large sample of unit records relating to tax audit cases for individual New Zealand firms, undertaken by Inland Revenue New Zealand over the period 1993 to 1995. The data are used to reveal the key characteristics that are associated with firms that comply, or fail to comply, with their tax liabilities. Multinomial Logit modelling is then used to determine the relative significance of these characteristics, and to estimate the probabilities of compliance, evasion and avoidance that are associated with firms which have different profiles. The paper illustrates the usefulness of this analysis as an input into the process of selecting firms for tax audits.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Paper provided by Department of Economics, University of Victoria in its series Department Discussion Papers with number
9803.
Length: 37 pages Date of creation: 17 Jun 1998 Date of revision: Handle: RePEc:vic:vicddp:9803
Note: An earlier version of this paper was presented at the Third Workshop on The Health of the Tax System, IRD, Wellington, N.Z., May 1998. Contact details of provider: Postal: PO Box 1700, STN CSC, Victoria, BC, Canada, V8W 2Y2 Phone: (250)721-8540 Fax: (250)721-6214 Web page: http://web.uvic.ca/econ More information through EDIRC
For technical questions regarding this item, or to correct its listing, contact: (David Giles).
Find related papers by JEL classification: C5 - Mathematical and Quantitative Methods - - Econometric Modeling H1 - Public Economics - - Structure and Scope of Government H2 - Public Economics - - Taxation, Subsidies, and Revenue
This paper has been announced in the following NEP Reports:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)