Ausloos, M, Castellano, R and Cerqueti, R (2016). Regularities and discrepancies of credit default swaps: a data science approach through Benford's law. Chaos, Solitons & Fractals 90, pp. 817. DOI:10.1016/j.chaos.2016.03.002.





Becker, T, Corcoran, TC, GreavesTunnell, A, Iafrate, JR, Jing, J, Miller, SJ, Porfilio, JD, Ronan, R, Samranvedhya, J and Strauch, FW (2013). Benford's Law and Continuous Dependent Random Variables. eprint arXiv:1309.5603, last revised 27 Dec 2013.





Diekmann, A and Jann, B (2010). Benford’s Law and Fraud Detection: Facts and Legends. German Economic Review 11(3), 397–401.





Fonseca, PMT da (2016). Digit analysis using Benford's Law : a bayesian approach. Masters Thesis, ISEG  Instituto Superior de Economia e Gestão, Lisbon School of Economics & Management.





Kundt, TC (2014). Applying "Benford's law" to the Crosswise Model: Findings from an online survey on tax evasion
. HelmutSchnidtUniversity, Department of Economics, Working Paper, 148/2014.





Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:9780691147611.





Rauch, B, Brähler, G, Engel, S and Göttsche, M (2011). Fact and Fiction in EUGovernmental Economic Data. German Economic Review 12(3), 243255. DOI:10.1111/j.14680475.2011.00542.x.




