Benford’s law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions

European Physical Journal B

Volumn 87, Issue 11, 2014, Pages

  Mir, Tariq Ahmad ^a   Ausloos, Marcel ^b,c   Cerqueti, Roy ^d  

^a BHABHA ATOMIC RESEARCH CENTRE   (India)

^b ROYAL NETHERLANDS ACADEMY OF ARTS AND SCIENCES   (Netherlands)

^c GRAPES   (Belgium)

^d UNIVERSITY OF MACERATA   (Italy)

Author keywords

Statistical and Nonlinear Physics

Indexed keywords

CLUSTERING ALGORITHMS; ECONOMICS; STATISTICAL PHYSICS;

COUNTER-INTUITIVE PHENOMENON; ECONOMIC ACTIVITIES; ITALIAN REGIONS; LARGE DEVIATIONS; STATISTICAL AND NONLINEAR PHYSICS; TABULATED DATA; TAX EVASIONS; TAX INCOMES;

TAXATION;

EID: 84919754614     PISSN: 14346028     EISSN: 14346036     Source Type: Journal    
DOI: 10.1140/epjb/e2014-50525-2     Document Type: Article

References (60)

1. L. Francis, V.R. Prevosto, Data and disaster: the role of data in the financial crisis, in Proceedings Casualty Actuarial Society E-Forum, 2010, p. 62
2. S. Newcomb, Am. J. Math. 4, 39 (1881)
3. F. Benford, Proc. Am. Phil. Soc. 78, 551 (1938)
4. A. Berger, T.P. Hill, Math. Intell. 33, 85 (2011)
5. E. Canessa, Physica A 328, 44 (2003)
6. N. Gauvrit, J.-P. Delahaye, Math. Sci. Hum. Math. Soc. Sci. 182, 7 (2008)
7. N. Gauvrit, J.-P. Delahaye, Math. Sci. Hum. Math. Soc. Sci. 186, 5 (2009)
8. T.P. Hill, Proc. Am. Math. Soc. 123, 887 (1995)
9. T.P. Hill, Stat. Sci. 10, 354 (1995)
10. R.S. Pinkham, Ann. Math. Stat. 32, 1223 (1961)
11. L. Pietronero, E. Tosatti, V. Tosatti, A. Vespignani, Physica A 293, 297 (2001)
12. T.A. Mir, Physica A 391, 792 (2012)
13. T.A. Mir, Physica A 408, 1 (2014)
14. T.A. Mir, arXiv:1201.3432 (2012)
15. J.C. Pain, Phys. Rev. E 77, 012102 (2008)
16. L. Shao, B.Q. Ma, Mod. Phys. Lett. A 24, 3275 (2009)
17. M. Sambridge, H. Tkalčić, A. Jackson, Geo. Phys. Res. Lett. A 37, L22301 (2010)
18. G. Judge, L. Schechter, J. Human Resources 44, 1 (2009)
19. W.R. Mebane Jr., Presp. Polit. 2, 525 (2004)
20. B.F. Roukema, J. Appl. Stat. 41, 164 (2014)
21. W.K.T. Cho, B.J. Gaines, Am. Statist. 61, 218 (2007)
22. P. Clippe, M. Ausloos, Physica A 15, 6556 (2012)
23. E. den Heijer, A.E. Eiben. Using aesthetic measures to evolve art, in IEEE Congress on Evolutionary Computation (CEC 2010), Barcelona, Spain, 2010 (IEEE Press)
24. F. Sandron, Population-E 57, 755 (2002)
25. T. Alexopoulos, S. Leontsinis, J. Astrophys. Astron. (2014), DOI:10.1007/s12036-014-9303-z
26. M. Ausloos, C. Herteliu, B. Ileanu, Physica A, in press, DOI:10.1016/j.physa.2014.10.041
27. T.P. Hill, A. Berger, Benford Online Bibliography, http://www.benfordonline.net/
28. C. Durtschi, W. Hillison, C. Pacini, J. Forensic Account. 1, 17 (2004)
29. M.J. Nigrini, J. Am. Tax. Assoc. 18, 72 (1996)
30. M.J. Nigrini, L.J. Mittermaier, J. Pract. Theory 16, 52 (1997)
31. M.J. Nigrini, Benford’s law: applications for forensic accounting, auditing and fraud detection (Wiley Publications, New Jersey, 2012)
32. T.P. Hill, Chance 12, 27 (1999)
33. H. Varian, Am. Statist. 23, 65 (1972)
34. C. Carslaw, Accounting Rev. 63, 321 (1988)
35. J. Kinnunen, M. Koskela, J. Int. Acc. Res. 2, 39 (2003)
36. R.M. Abrantes-Metz, G. Judge, S. Villas-Boas, Appl. Econ. Lett. 10, 893 (2011)
37. T. Michalski, G. Stoltz, Rev. Econ. Stat. 95, 591 (2013)
38. B. Rauch, M. Göttsche, G. Brähler, S. Engel, German Econ. Rev. 12, 243 (2011)
39. C.A. Holz, The Quality of China’s GDP Statistics, Stanford University, SCID Working Paper 487 (2013)
40. J. Nye, C. Moul, BE Journal of Macroeconomics 7, 17 (2007)
41. A.H. Haynes, Scripps Senior Theses., Paper 42 (2012), http://scholarship.claremont.edu/scripps˙theses/42
42. G.G. Johnson, J. Weggenmann, Academy of Accounting and Financial Studies Journal 17, 31 (2013)
43. J. Costa, J. Santos, S. Travassos, R. Cont. Fin. – USP, Sao Paulo 23, 187 (2012)
44. D. Bartolini, R. Santolini, Ann. Reg. Sci. 49, 213 (2012)
45. E. Padovani, E. Scorsone, Measuring financial health of local governments a comparative framework, Year Book of Swiss Administrative Sciences (2011)
46. F. Schneider, The increase of the size of the shadow economy of 18 OECD countries: some preliminary explanations, IFO Working Paper 306 (2006)
47. G. Jones, Italy approves decree to stave off bankruptcy for Rome council (2014), http://www.reuters.com/assets/print?aid=USBREA1R1OD20140228
48. G. Brosio, A. Cassone, R. Ricciuti, Public Choice 112, 259 (2002)
49. F. Calderoni, Glob. Crime 12, 41 (2011)
50. F. Schneider, The value added of underground activities: size and measurement of the shadow economies of 110 countries all over the world, World Bank Working Paper Washington D.C. (2000)
51. P. Di Caro, G. Nicotra, Knowing the unknown across regions: spatial tax evasion across Italy (2014), DOI:10.2139/ssrn.2446803
52. M.R. Marino, R. Zizza, The personal income tax evasion in Italy: an estimate by taxpayer’s type, in Tax Evasion and the Shadow Economy, edited by M. Pickhardt, A. Prinz, (Edward Elgar Pub., Cheltenham, 2011)
53. C.V. Fiorio, F. D’Amuri, Giornale degli Economisti e Annali di Economia 64, 247 (2005)
54. R. Galbiati, G. Zanella, J. Pub. Econ. 96, 485 (2012)
55. P. Missier, G. Lalk, V. Verykios, F. Grillo, T. Lorusso, P. Angeletti, Distributed Parallel Databases 13, 135 (2003)
56. J. Boyle, Am. Math. Month. 101, 879 (1994)
57. P.D. Scott, M. Fasli, Benford’s law: An empirical investigation and a novel explanation, CSM Technical Report 349 (2001), http://repository.essex.ac.uk
58. M. Alexeev, E. Janeba, S. Osborne, J. Comp. Econ. 32, 375 (2004)
59. B. Geys, G. Daniele, Organized Crime, Institutions and political quality: empirical evidence from Italian municipalities. Workshop Paper, https://politicalscience.stanford.edu/sites/default/files/workshop-materials/Paper˙Ginmarco˙0.pdf
60. M.A. Sergi, Ndrangheta and gangster politics in Calabria. The local side of a global threat, http://www.ecpr.eu/Filestore/PaperProposal/3f185089-adf3-4dee-8c11-000088f2fedc.pdf