Demir, B and Javorcik, B (2017). Forensics, Elasticities and Benford’s Law: Detecting Tax Fraud in International Trade. Eprint posted on semantic scholar.org, Dec 22, 2017.
This work cites the following items of the Benford Online Bibliography:
Cho, WKT and Gaines, BJ (2007). Breaking the (Benford) law: Statistical fraud detection in campaign finance. American Statistician 61(3), pp. 218223. ISSN/ISBN:00031305. DOI:10.1198/000313007X223496.





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 15245586/Vol. V, pp. 1734.





Hill, TP (1995). A Statistical Derivation of the SignificantDigit Law. Statistical Science 10(4), pp. 354363. ISSN/ISBN:08834237.





Judge, G and Schechter, L (2009). Detecting problems in survey data using Benford’s law. J. Human Resources 44, pp. 124. DOI:10.3368/jhr.44.1.1.





Michalski, T and Stoltz, G (2013). Do Countries Falsify Economic Data Strategically? Some Evidence That They Might. The Review of Economics and Statistics, Vol. 95, No. 2, pp. 591616. DOI:10.1162/REST_a_00274.




