Cross Reference Down

Cano-Rodríguez, M (2025). Deviations from Benford’s Law in Asset Valuations: Market Prices vs. Expert Estimates. Finance Research Letters 86.

This work cites the following items of the Benford Online Bibliography:


Amiram, D, Bozanic, Z and Rouen, E (2015). Financial statement errors: evidence from the distributional properties of financial statement numbers. Review of Accounting Studies 20(4), pp. 1540–1593. DOI:10.1007/s11142-015-9333-z. View Complete Reference Online information Works that this work references Works that reference this work
Ausloos, M, Cerqueti, R and Mir, TA (2017). Data science for assessing possible tax income manipulation: The case of Italy. Chaos, Solitons and Fractals 104, pp. 238–256. DOI:10.1016/j.chaos.2017.08.012. View Complete Reference Online information Works that this work references Works that reference this work
Badal-Valero, E, Alvarez-Jareño, JA and Pavía, JM (2018). Combining Benford's Law and machine learning to detect money laundering. An actual Spanish court case. Forensic Science International 282, pp. 24-34. DOI:10.1016/j.forsciint.2017.11.008. View Complete Reference Online information Works that this work references Works that reference this work
Barabesi, L, Cerasa, A, Cerioli, A and Perrotta, D (2018). Goodness-of-fit testing for the Newcomb-Benford law with application to the detection of customs fraud. Journal of Business & Economic Statistics 36(2), pp. 346-358. DOI:10.1080/07350015.2016.1172014. View Complete Reference Online information Works that this work references Works that reference this work
Barabesi, L, Cerioli, A and Di Marzio, M (2023). Statistical models and the Benford hypothesis: a unified framework. TEST. DOI:10.1007/s11749-023-00881-y. View Complete Reference Online information Works that this work references Works that reference this work
Burns, BD (2009). Sensitivity to statistical regularities: People (largely) follow Benford’s law. pp 2872-2877 in: Proceedings of CogSci 2009, Amsterdam, The Netherlands. View Complete Reference Online information Works that this work references Works that reference this work
Burns, BD (2020). Do people fit to Benford’s law, or do they have a Benford bias?. Proceedings of the 42nd Annual Virtual Meeting of the Cognitive Science Society, pp. 1729-1735. View Complete Reference Online information Works that this work references Works that reference this work
Cano-Rodríguez, M (2025). How much is too much? Measuring divergence from Benford's Law with the Equivalent Contamination Proportion (ECP). Preprint arXiv:2506.09915 [econ.EM]; last accessed August 27, 2025. DOI:10.48550/arXiv.2506.09915. View Complete Reference Online information Works that this work references Works that reference this work
Cano-Rodríguez, M, Núñez-Nickel, M and Licerán-Gutiérrez, A (2025). Divergence from Benford’s law fails to measure financial statement accuracy. International Journal of Accounting Information Systems 56, pp. 100745. DOI:10.1016/j.accinf.2025.100745. View Complete Reference Online information Works that this work references Works that reference this work
Cerqueti, R and Lupi, C (2021). Some New Tests of Conformity with Benford's Law. Stats 4(3), pp. 745-761. DOI:10.3390/stats4030044. View Complete Reference Online information Works that this work references Works that reference this work
Cerqueti, R and Lupi, C (2023). Severe testing of Benford's law. TEST 32(2), pp. 677-694. DOI:10.1007/s11749-023-00848-z. View Complete Reference Online information Works that this work references Works that reference this work
Chakrabarty, B, Moulton, PC, Pugachev, L and Wang, X (2024). Catch me if you can: In search of accuracy, scope, and ease of fraud prediction. Review of Accounting Studies. DOI:10.1007/s11142-024-09854-4. View Complete Reference Online information Works that this work references Works that reference this work
Chi, D and Burns, BD (2022). Why do People fit to Benford’s Law? – A Test of the Recognition Hypothesis. In: Proceedings of the 44th Annual Conference of the Cognitive Science Society, J. Culbertson, A. Perfors, H. Rabagliati & V. Ramenzoni (Eds.), pp. 3648-3654. View Complete Reference Online information Works that this work references Works that reference this work
Chi, D and Burns, BD (2024). Benford’s law: testing the effects of distributions and anchors on number estimation. In: Proceedings of the Annual Meeting of the Cognitive Science Society 46, pp. 3851–3857. View Complete Reference Online information Works that this work references Works that reference this work
Cong, LW, Li, X, Tang, K and Yang, Y (2021). Crypto Wash Trading. Management Science 69(11), pp. 6427-6454. DOI:10.1287/mnsc.2021.02709. View Complete Reference Online information Works that this work references Works that reference this work
D'Alessandro, A (2020). Benford's law and metabolomics: A tale of numbers and blood. Transfusion and Apheresis Science 59(6), pp. 103019. DOI:10.1016/j.transci.2020.103019. View Complete Reference Online information Works that this work references Works that reference this work
Deckert, J, Myagkov, M and Ordeshook, PC (2011). Benford's Law and the Detection of Election Fraud. Political Analysis 19(3), pp. 245-268. DOI:10.1093/pan/mpr014. View Complete Reference Online information Works that this work references Works that reference this work
Diekmann, A (2007). Not the First Digit! Using Benford's Law to Detect Fraudulent Scientific Data. Journal of Applied Statistics 34(3), pp. 321-329. ISSN/ISBN:0266-4763. DOI:10.1080/02664760601004940. View Complete Reference Online information Works that this work references Works that reference this work
Durtschi, C, Hillison, W and Pacini, C (2004). The effective use of Benford’s law to assist in detecting fraud in accounting data. Journal of Forensic Accounting 1524-5586/Vol. V, pp. 17-34. View Complete Reference Online information Works that this work references Works that reference this work
Eutsler, J, Harris, MK, Williams, LT and Cornejo, OE (2023). Accounting for partisanship and politicization: Employing Benford's Law to examine misreporting of COVID-19 infection cases and deaths in the United States. Accounting, Organizations and Society, in press. DOI:10.1016/j.aos.2023.101455. View Complete Reference Online information Works that this work references Works that reference this work
Hill, TP (1988). Random-Number Guessing and the First Digit Phenomenon. Psychological Reports 62(3), pp. 967-971. ISSN/ISBN:0033-2941. DOI:10.2466/pr0.1988.62.3.967. View Complete Reference No online information available Works that this work references Works that reference this work
Hill, TP (1999). The difficulty of faking data. Chance 12(3), pp. 27-31. DOI:10.1080/09332480.1999.10542154. View Complete Reference Online information Works that this work references Works that reference this work
Horton, J, Kumar, DK and Wood, A (2020). Detecting academic fraud using Benford law: The case of Professor James Hunton. Research Policy 49(8), 104084 . DOI:10.1016/j.respol.2020.104084. View Complete Reference Online information Works that this work references Works that reference this work
Hsü, EH (1948). An Experimental Study on "Mental Numbers" and a New Application. The Journal of General Psychology 38, pp. 57-67. DOI:10.1080/00221309.1948.9711768. View Complete Reference Online information Works that this work references Works that reference this work
Kaiser, M (2019). Benford’s Law As An Indicator Of Survey Reliability—Can We Trust Our Data?. Journal of Economic Surveys Vol. 00, No. 0, pp. 1–17. DOI:10.1111/joes.12338. View Complete Reference Online information Works that this work references Works that reference this work
Kössler, W, Lenz, H-J and Wang, XD (2023). Some new invariant sum tests and MAD tests for the assessment of Benford's Law. Preprint on ResearchSquare (Published in Comput. Stat. 1–22, doi: 10.1007/S00180-024-01463-8/TABLES/17) . DOI:10.21203/rs.3.rs-3336839/v1. View Complete Reference Online information Works that this work references Works that reference this work
Michalski, T and Stoltz, G (2013). Do Countries Falsify Economic Data Strategically? Some Evidence That They Might. The Review of Economics and Statistics 95(2), pp. 591-616. DOI:10.1162/REST_a_00274. View Complete Reference Online information Works that this work references Works that reference this work
Mumic, N and Filzmoser, P (2021). A multivariate test for detecting fraud based on Benford’s law, with application to music streaming data. Statistical Methods & Applications 30, 819–840. DOI:10.1007/s10260-021-00582-6. View Complete Reference Online information Works that this work references Works that reference this work
Nigrini, MJ (1996). A taxpayer compliance application of Benford’s law. Journal of the American Taxation Association 18(1), pp. 72-91. View Complete Reference Online information Works that this work references Works that reference this work
Sifat, I, Tariq, SA and van Donselaar, D (2024). Suspicious Trading in Nonfungible Tokens (NFTs). Information & Management 61(1), p. 103898. DOI:10.1016/j.im.2023.103898. View Complete Reference Online information Works that this work references Works that reference this work
Vičič, J and Tošić, A (2022). Application of Benford’s law on cryptocurrencies. Journal of Theoretical and Applied Electronic Commerce Research 17(1), pp. 313-326. DOI:10.3390/jtaer17010016. View Complete Reference Online information Works that this work references Works that reference this work
Watrin, C, Struffert, R and Ullmann, R (2008). Benford’s Law: an instrument for selecting tax audit targets?. Review of Managerial Science 2(3), 219-237. DOI:10.1007/s11846-008-0019-9. View Complete Reference Online information Works that this work references Works that reference this work
Wünsch, S , Vollmeyer, R and Burns, B (2024). Benford’s law from a developmental perspective. In: Proceedings of the Annual Meeting of the Cognitive Science Society 46, pp. 973–979 . View Complete Reference Online information Works that this work references Works that reference this work