The Hidden Economy and the Tax-Gap in New Zealand: A Latent Variable Analysis
David Giles ()
No 9807, Econometrics Working Papers from Department of Economics, University of Victoria
This paper develops a structural, latent variable, model for the hidden economy in New Zealand, and a separate currency-demand model. The latent variable model is used to generate an historical time-series index of hidden economic activity, which is calibrated via the information from the currency-demand model. The hidden economy varies between 6.8% and 11.3% of measured GDP. This, in turn, implies that the tax-gap is of the order of 6.4% to 10.2% of total tax liability in that country.
Keywords: Hidden Economy; Underground Economy; Tax Avoidance; Tax Evasion; Latent Variables; Structural Modelling (search for similar items in EconPapers)
JEL-codes: C12 C22 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eec, nep-pbe and nep-pub
Note: ISSN 1485-6441. This paper was also released as UVic Discussion Paper 97-08 in April 1997, and a longer preliminary version was released as N.Z. Inland Revenue Department Working Paper 5a, November/December 1996. The final version of this paper is now available as vicewp:9905.
References: Add references at CitEc
Citations: View citations in EconPapers (2) Track citations by RSS feed
Downloads: (external link)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.uvic.ca/socialsciences/economics/assets/docs/econometrics/wp9807.pdf [302 Found]--> https://www.uvic.ca/socialsciences/economics/assets/docs/econometrics/wp9807.pdf)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:vic:vicewp:9807
Access Statistics for this paper
More papers in Econometrics Working Papers from Department of Economics, University of Victoria PO Box 1700, STN CSC, Victoria, BC, Canada, V8W 2Y2. Contact information at EDIRC.
Bibliographic data for series maintained by Graham Voss ().