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Testing Benford’s Laws (non)conformity within disclosed companies’ financial statements among hospitality industry in Romania

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  • Herteliu, Claudiu
  • Jianu, Ionel
  • Dragan, Irina Maria
  • Apostu, Simona
  • Luchian, Iuliana

Abstract

Nowadays, the Benford’s Laws is tested in plenty of academic domains as the first check of data reliability. Benford’s Laws non-conformity does not necessarily mean that there is a case of data manipulation. However, such a test can raise the first signal for further prudence in conclusions based on that specific dataset. Romania is considering to have a higher rate for fiscal evasion, and the cash propensity within the hospitality industry is high. In this context, we expect that hospitality industry companies’ fiscal statements to be Benford non-conformant. The dataset consists of more than 574 thousand Romanian companies’ disclosed financial statements for the year 2013. The control variable is the company’s size (from the number of employees point of view). Against our expectations, we find very small discrepancies in the dataset’s empirical distributions compared to Benford’s Laws. This is the case for the first digit, second digit and the first two combined digits.

Suggested Citation

  • Herteliu, Claudiu & Jianu, Ionel & Dragan, Irina Maria & Apostu, Simona & Luchian, Iuliana, 2021. "Testing Benford’s Laws (non)conformity within disclosed companies’ financial statements among hospitality industry in Romania," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    • Handle: RePEc:eee:phsmap:v:582:y:2021:i:c:s0378437121004945
    DOI: 10.1016/j.physa.2021.126221
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    1. Marko Crnogorac & Santiago Lago-Peñas, 2018. "Tax evasion in Former Yugoslavian countries," Working Papers. Collection A: Public economics, governance and decentralization 1811, Universidade de Vigo, GEN - Governance and Economics research Network.
    2. 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.
    3. 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.
    4. Miranda-Zanetti, Maximilano & Delbianco, Fernando & Tohmé, Fernando, 2019. "Tampering with inflation data: A Benford law-based analysis of national statistics in Argentina," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 761-770.
    5. Amelia Bucur & Gabriela Dobrotă & Oana Dumitraşcu, 2019. "Implications of Fiscal Pressure on the Sustainability of the Equilibrium and Performance of Companies. Evidences in the Rubber and Plastic Industry from Romania," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    6. Lee, Kang-Bok & Han, Sumin & Jeong, Yeasung, 2020. "COVID-19, flattening the curve, and Benford’s law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 559(C).
    7. Tariq Ahmad Mir & Marcel Ausloos, 2018. "Benford's law: A “sleeping beauty†sleeping in the dirty pages of logarithmic tables," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(3), pages 349-358, March.
    8. 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.
    9. Canagarajah, Sudharshan & Brownbridge, Martin & Paliu, Anca & Dumitru, Ionut, 2012. "The challenges to long run fiscal sustainability in Romania," Policy Research Working Paper Series 5927, The World Bank.
    10. Stela Aurelia Toader, 2007. "Overall analysis of the tax evasion phenomenon and its dynamics in Romania after 1989," Romanian Economic Business Review, Romanian-American University, vol. 2(3), pages 98-108, September.
    11. 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).
    12. Micha Kaiser, 2019. "Benford'S Law As An Indicator Of Survey Reliability—Can We Trust Our Data?," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1602-1618, December.
    13. Petre Brezeanu & Sorin Celea & Ana Petrina Stanciu, 2011. "Forms of Tax Evasion in Romania. Analytical Perspective," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 11(1), pages 33-42.
    14. Mir, T.A., 2014. "The Benford law behavior of the religious activity data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 1-9.
    15. Katarina Ott, 2002. "The Underground Economy in Croatia," Occasional paper series 12, Institute of Public Finance.
    16. 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.
    17. Huang, Xu & Maçaira, Paula Medina & Hassani, Hossein & Cyrino Oliveira, Fernando Luiz & Dhesi, Gurjeet, 2019. "Hydrological natural inflow and climate variables: Time and frequency causality analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 480-495.
    18. Armenia ANDRONICEANU & Rodica GHERGHINA & Marilena CIOBANA?U, 2019. "The Interdependence Between Fiscal Public Policies And Tax Evasion," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2019(32), pages 32-41, June.
    19. Hasseldine, D. John & Bebbington, K. Jan, 1991. "Blending economic deterrence and fiscal psychology models in the design of responses to tax evasion: The New Zealand experience," Journal of Economic Psychology, Elsevier, vol. 12(2), pages 299-324, June.
    20. Ausloos, Marcel & Cerqueti, Roy & Lupi, Claudio, 2017. "Long-range properties and data validity for hydrogeological time series: The case of the Paglia river," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 39-50.
    21. Luigi D’Ambra & Pietro Amenta & Antonello D’Ambra, 2018. "Decomposition of cumulative chi-squared statistics, with some new tools for their interpretation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 297-318, June.
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