Horton, J, Kumar, DK and Mercado, F (2023). Anticipating Corporate Misreporting: Leveraging the Slippery Slope Phenomenon and its Predictive Power. Preprint.
This work cites the following items of the Benford Online Bibliography:
Barney, BB and Schulzke, KS (2016). Moderating "Cry Wolf" events with excess MAD in Benford's law research and practice. J. Forensic Account. Res. 1 (1), A66–A90. DOI:10.2308/jfar51622.





Benford, F (1938). The law of anomalous numbers. Proceedings of the American Philosophical Society, Vol. 78, No. 4 (Mar. 31, 1938), pp. 551572.





Bhattacharya, S, Xu, D and Kumar, K (2010). An ANNbased auditor decision support system using Benford's Law. Decision support systems, 50 (3), pp. 576584.





Chakrabarthy, B, Moulton, PC, Pugachev, L and Wang, X (2019). Catch Me If You Can: Improving the Scope and Accuracy of Fraud Prediction. Eprint available at SSRN: https://ssrn.com/abstract=3352667, March 13, 2019. DOI:10.2139/ssrn.3352667.





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.





Johnson, GG and Weggenmann, J (2013). Exploratory Research Applying Benford’s Law to Selected Balances in the Financial Statements of State Governments. Academy of Accounting & Financial Studies Journal 17 (3), pp. 3144.





Nigrini, MJ (1996). A taxpayer compliance application of Benford’s law. Journal of the American Taxation Association 18(1), pp. 7291.





Pinkham, RS (1961). On the Distribution of First Significant Digits. Annals of Mathematical Statistics 32(4), pp. 12231230. ISSN/ISBN:00034851.




