Use of Social Network Analysis for Tax Control in Spain
Ignacio González García () and
Alfonso Mateos ()
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Ignacio González García: Universidad Politécnica de Madrid
Alfonso Mateos: Universidad Politécnica de Madrid
Hacienda Pública Española / Review of Public Economics, 2021, vol. 239, issue 4, 159-197
Abstract:
The Spanish Tax Agency is an experienced user of big data and has now deployed social network analysis (SNA) tools. SNA tools have led to a qualitative leap in such wide-ranging areas as tax collection, enforcement, control of ultra-high-net-worth individuals, and money laundering. This paper presents a comprehensive overview of the different lines of research, strategies and results of nine projects over the last five years, including the lessons learned. We present the best practices in pattern discovery, the tools developed for the control of big fortunes and the strategy developed to create a bridge between expert knowledge and SNA technologies. We highlight the results of investigating interposed entities used to channel personal remuneration, complex corporate structures, and opaque companies
Keywords: Enforcement; Net worth; SNA; Social networks; Pregel; Fraud (search for similar items in EconPapers)
JEL-codes: D31 D85 E21 H26 (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hpe:journl:y:2021:v:239:i:4:p:159-197
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