Risk prediction of tax evasion with Benford law and generative topographic mapping

Tax evasion is an illegal avoidance of tax payments to the government. It is the intentional over-declaration of expenses and the under declaration of revenue in the tax return forms. In the Philippines, the issue of tax evasion has cost the collecting agency of the government to address annual reve...

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Main Authors:	Hwang, Misha Ysabel K., Puti, Ralph Rency D.
Format:	text
Language:	English
Published:	Animo Repository 2019
Subjects:	Mathematics
Online Access:	https://animorepository.dlsu.edu.ph/etd_bachelors/18576
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Institution:	De La Salle University
Language:	English

id	oai:animorepository.dlsu.edu.ph:etd_bachelors-19089
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:etd_bachelors-190892022-02-11T07:03:50Z Risk prediction of tax evasion with Benford law and generative topographic mapping Hwang, Misha Ysabel K. Puti, Ralph Rency D. Tax evasion is an illegal avoidance of tax payments to the government. It is the intentional over-declaration of expenses and the under declaration of revenue in the tax return forms. In the Philippines, the issue of tax evasion has cost the collecting agency of the government to address annual revenue loss of 218 billion Philippine pesos, resulting in the implementation of the Benchmarking Program in 2011. The objective is to improve tax collections and to detect tax leakages. However, the benchmarking program has caused controversial issues with the citizens. Their current method has shown some inconsistent and inaccurate results. The uses of Benford Law and General Topographic Mapping in the prediction of tax evasion are implemented in this paper. 2019-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/18576 Bachelor's Theses English Animo Repository Mathematics
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
language	English
topic	Mathematics
spellingShingle	Mathematics Hwang, Misha Ysabel K. Puti, Ralph Rency D. Risk prediction of tax evasion with Benford law and generative topographic mapping
description	Tax evasion is an illegal avoidance of tax payments to the government. It is the intentional over-declaration of expenses and the under declaration of revenue in the tax return forms. In the Philippines, the issue of tax evasion has cost the collecting agency of the government to address annual revenue loss of 218 billion Philippine pesos, resulting in the implementation of the Benchmarking Program in 2011. The objective is to improve tax collections and to detect tax leakages. However, the benchmarking program has caused controversial issues with the citizens. Their current method has shown some inconsistent and inaccurate results. The uses of Benford Law and General Topographic Mapping in the prediction of tax evasion are implemented in this paper.
format	text
author	Hwang, Misha Ysabel K. Puti, Ralph Rency D.
author_facet	Hwang, Misha Ysabel K. Puti, Ralph Rency D.
author_sort	Hwang, Misha Ysabel K.
title	Risk prediction of tax evasion with Benford law and generative topographic mapping
title_short	Risk prediction of tax evasion with Benford law and generative topographic mapping
title_full	Risk prediction of tax evasion with Benford law and generative topographic mapping
title_fullStr	Risk prediction of tax evasion with Benford law and generative topographic mapping
title_full_unstemmed	Risk prediction of tax evasion with Benford law and generative topographic mapping
title_sort	risk prediction of tax evasion with benford law and generative topographic mapping
publisher	Animo Repository
publishDate	2019
url	https://animorepository.dlsu.edu.ph/etd_bachelors/18576
_version_	1772835328135004160

Risk prediction of tax evasion with Benford law and generative topographic mapping

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