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Data science for assessing possible tax income manipulation: The case of Italy

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  • Marcel Ausloos
  • Roy Cerqueti
  • Tariq A. Mir

Abstract

This paper explores a real-world fundamental theme under a data science perspective. It specifically discusses whether fraud or manipulation can be observed in and from municipality income tax size distributions, through their aggregation from citizen fiscal reports. The study case pertains to official data obtained from the Italian Ministry of Economics and Finance over the period 2007-2011. All Italian (20) regions are considered. The considered data science approach concretizes in the adoption of the Benford first digit law as quantitative tool. Marked disparities are found, - for several regions, leading to unexpected "conclusions". The most eye browsing regions are not the expected ones according to classical imagination about Italy financial shadow matters.

Suggested Citation

  • Marcel Ausloos & Roy Cerqueti & Tariq A. Mir, 2017. "Data science for assessing possible tax income manipulation: The case of Italy," Papers 1709.02129, arXiv.org.
    • Handle: RePEc:arx:papers:1709.02129
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    1. Pentland, Brian T. & Carlile, Paul, 1996. "Audit the taxpayer, not the return: Tax auditing as an expression game," Accounting, Organizations and Society, Elsevier, vol. 21(2-3), pages 269-287.
    2. Bernhard Rauch & Max Göttsche & Gernot Brähler & Stefan Engel, 2011. "Fact and Fiction in EU‐Governmental Economic Data," German Economic Review, Verein für Socialpolitik, vol. 12(3), pages 243-255, August.
    3. Galbiati, Roberto & Zanella, Giulio, 2012. "The tax evasion social multiplier: Evidence from Italy," Journal of Public Economics, Elsevier, vol. 96(5), pages 485-494.
    4. Rosa Abrantes-Metz & Sofia Villas-Boas & George Judge, 2011. "Tracking the Libor rate," Applied Economics Letters, Taylor & Francis Journals, vol. 18(10), pages 893-899.
    5. Carbone, Anna & Jensen, Meiko & Sato, Aki-Hiro, 2016. "Challenges in data science: a complex systems perspective," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 1-7.
    6. T. Mir, 2016. "The leading digit distribution of the worldwide illicit financial flows," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(1), pages 271-281, January.
    7. Tomasz Kamil Michalski & Guillaume Stoltz, 2010. "Do countries falsify economic date strategically? Some evidence that they do," Working Papers hal-00540794, HAL.
    8. César Carrera, 2015. "Tracking exchange rate management in Latin America," Review of Financial Economics, John Wiley & Sons, vol. 25(1), pages 35-41, April.
    9. Ausloos, Marcel & Castellano, Rosella & Cerqueti, Roy, 2016. "Regularities and discrepancies of credit default swaps: a data science approach through Benford's law," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 8-17.
    10. Raj Aggarwal & Brian M. Lucey, 2007. "Psychological barriers in gold prices?," Review of Financial Economics, John Wiley & Sons, vol. 16(2), pages 217-230.
    11. David Bartolini & Raffaella Santolini, 2012. "Political yardstick competition among Italian municipalities on spending decisions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 213-235, August.
    12. Tomasz Michalski & Gilles Stoltz, 2013. "Do Countries Falsify Economic Data Strategically? Some Evidence That They Might," The Review of Economics and Statistics, MIT Press, vol. 95(2), pages 591-616, May.
    13. repec:bla:germec:v:10:y:2009:i::p:339-351 is not listed on IDEAS
    14. Clippe, Paulette & Ausloos, Marcel, 2012. "Benford’s law and Theil transform of financial data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6556-6567.
    15. Nye John & Moul Charles, 2007. "The Political Economy of Numbers: On the Application of Benford's Law to International Macroeconomic Statistics," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-14, July.
    16. Alexeev, Michael & Janeba, Eckhard & Osborne, Stefan, 2004. "Taxation and evasion in the presence of extortion by organized crime," Journal of Comparative Economics, Elsevier, vol. 32(3), pages 375-387, September.
    17. Ausloos, M. & Herteliu, C. & Ileanu, B., 2015. "Breakdown of Benford’s law for birth data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 736-745.
    18. Brosio, Giorgio & Cassone, Alberto & Ricciuti, Roberto, 2002. "Tax Evasion across Italy: Rational Noncompliance or Inadequate Civic Concern?," Public Choice, Springer, vol. 112(3-4), pages 259-273, September.
    19. Mir, T.A., 2012. "The law of the leading digits and the world religions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 792-798.
    20. Francesco Calderoni, 2011. "Where is the mafia in Italy? Measuring the presence of the mafia across Italian provinces," Global Crime, Taylor & Francis Journals, vol. 12(1), pages 41-69, February.
    21. Puyou, François-Régis, 2014. "Ordering collective performance manipulation practices: How do leaders manipulate financial reporting figures in conglomerates?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(6), pages 469-488.
    22. M. Rosaria Marino & Roberta Zizza, 2012. "Personal Income Tax Evasion in Italy: An Estimate by Taxpayer Type," Chapters, in: Michael Pickhardt & Aloys Prinz (ed.), Tax Evasion and the Shadow Economy, chapter 3, Edward Elgar Publishing.
    23. Paul Davidson, 1996. "Reality and Economic Theory," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 18(4), pages 479-508, July.
    24. Tariq Ahmad Mir & Marcel Ausloos & Roy Cerqueti, 2014. "Benford's law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions," Papers 1410.2890, arXiv.org.
    25. Armstrong, Christopher S. & Blouin, Jennifer L. & Jagolinzer, Alan D. & Larcker, David F., 2015. "Corporate Governance, Incentives, and Tax Avoidance," Research Papers 2134, Stanford University, Graduate School of Business.
    26. Bruno Chiarini & Elisabetta Marzano & Friedrich Schneider, 2013. "Tax rates and tax evasion: an empirical analysis of the long-run aspects in Italy," European Journal of Law and Economics, Springer, vol. 35(2), pages 273-293, April.
    27. repec:hal:spmain:info:hdl:2441/2jbidihgpo8bia7dbd5ipjlsi9 is not listed on IDEAS
    28. François-Régis Puyou, 2014. "Ordering collective performance manipulation practices: How do leaders manipulate financial reporting figures in conglomerates?," Post-Print hal-01069276, HAL.
    29. Paul Davidson, 1987. "Sensible Expectations and the Long-Run Non-Neutrality of Money," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 10(1), pages 146-153, September.
    30. Luippold, Benjamin L. & Kida, Thomas & Piercey, M. David & Smith, James F., 2015. "Managing audits to manage earnings: The impact of diversions on an auditor’s detection of earnings management," Accounting, Organizations and Society, Elsevier, vol. 41(C), pages 39-54.
    31. Friedrich Schneider, 2000. "Illegal Activities, but Still Value Added Ones (?): Size, Causes, and Measurement of the Shadow Economies all over the World," CESifo Working Paper Series 305, CESifo.
    32. Constantino Tsallis & Celia Anteneodo & Lisa Borland & Roberto Osorio, 2003. "Nonextensive statistical mechanics and economics," Papers cond-mat/0301307, arXiv.org.
    33. Carlo V Fiorio & Francesco D'Amuri, 2005. "Workers' Tax Evasion in Italy," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 64(2-3), pages 247-270, November.
    34. Tsallis, Constantino & Anteneodo, Celia & Borland, Lisa & Osorio, Roberto, 2003. "Nonextensive statistical mechanics and economics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 89-100.
    35. Armstrong, Christopher S. & Blouin, Jennifer L. & Jagolinzer, Alan D. & Larcker, David F., 2015. "Corporate governance, incentives, and tax avoidance," Journal of Accounting and Economics, Elsevier, vol. 60(1), pages 1-17.
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    Cited by:

    1. Roy Cerqueti & Claudio Lupi, 2021. "Some New Tests of Conformity with Benford’s Law," Stats, MDPI, vol. 4(3), pages 1-17, September.
    2. Ausloos, Marcel & Ficcadenti, Valerio & Dhesi, Gurjeet & Shakeel, Muhammad, 2021. "Benford’s laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    3. Cerqueti, Roy & Maggi, Mario, 2021. "Data validity and statistical conformity with Benford’s Law," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    4. Marcel Ausloos & Roy Cerqueti & Tariq A. Mir, 2018. "Data on the annual aggregated income taxes of the Italian municipalities over the quinquennium 2007-2011," Papers 1806.10935, arXiv.org.
    5. Shi, Jing & Ausloos, Marcel & Zhu, Tingting, 2018. "Benford’s law first significant digit and distribution distances for testing the reliability of financial reports in developing countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 878-888.
    6. Wang, Delu & Chen, Fan & Mao, Jinqi & Liu, Nannan & Rong, Fangyu, 2022. "Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries," Energy Economics, Elsevier, vol. 114(C).
    7. Ausloos, Marcel & Cerqueti, Roy & Bartolacci, Francesca & Castellano, Nicola G., 2018. "SME investment best strategies. Outliers for assessing how to optimize performance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 754-765.
    8. Arezzo, Maria Felice & Cerqueti, Roy, 2023. "A Benford’s Law view of inspections’ reasonability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    9. Riccioni, Jessica & Cerqueti, Roy, 2018. "Regular paths in financial markets: Investigating the Benford's law," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 186-194.
    10. Jevgeni Tarassov & Nicolas Houli'e, 2023. "Bitcoin: A life in crises," Papers 2304.09939, arXiv.org.

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    More about this item

    JEL classification:

    • H71 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Taxation, Subsidies, and Revenue
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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