Use of Survival Analysis for Shell Companies Analyses in a Brazilian State

被引:0
|
作者
Ducas, Jonatas Dell [1 ,2 ,3 ]
Contreras, Rodrigo Colnago [3 ,4 ,5 ]
机构
[1] SEFAZ SP, Amer Tax Off, BR-13465009 Americana, Brazil
[2] Amer Coll, Engn Dept, BR-13477360 Americana, Brazil
[3] Univ Sao Paulo, Inst Math & Comp Sci, BR-13566590 Sao Carlos, Brazil
[4] Fed Univ Sao Paulo UNIFESP, Inst Sci & Technol, Dept Sci & Technol, BR-12247014 Sao Jose Dos Campos, Brazil
[5] Sao Paulo State Univ UNESP, Inst Biosci Letters & Exact Sci, Dept Comp Sci & Stat, BR-15054000 Sao Jose Do Rio Preto, Brazil
来源
IEEE ACCESS | 2025年 / 13卷
基金
巴西圣保罗研究基金会;
关键词
Finance; Companies; Production; Monitoring; Fraud; STEM; Legislation; Inspection; Planning; Maintenance; Survival analysis; shell companies; cox regression; Kaplan-Meier; FRAUD;
D O I
10.1109/ACCESS.2025.3543714
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
One of the current problems in tax evasion is the creation of shell companies. Such companies operate in the provision of spurious credits, harming the market and the State. The Tax Authority needs to act as soon as possible to prevent such companies from generating the credit, as well as within the constitutional deadline for recovery of the amounts. The present work aims to analyze how the SEFAZ of the State of S & atilde;o Paulo has acted on this issue. Through the use of survival analysis in Python, it is sought to verify how the performance was in the period from 2015 to 2023. The time to detect shell companies as well as the time required for administrative processes are analyzed. First, an analysis is made through Kaplan Meier. Subsequently, using computational tools, the possibility of parameterizing the survival curve is verified. Through Cox regression, it is verified if there are relevant covariates that can be studied. The results are expected to provide subsidies for the development of lines of action within the SEFAZ to minimize the survival time of such companies.
引用
收藏
页码:35933 / 35945
页数:13
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