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Beber, B and Scacco, A (2012). What the Numbers Say: A Digit-Based Test for Election Fraud. Political Analysis 20 (2), pp. 211-234.

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Alves, AD, Yanasse, HH and Soma, NY (2014). Benford's Law and articles of scientific journals: comparison of JCR® and Scopus data. Scientometrics 98, pp. 173-184. ISSN/ISBN:0138-9130. DOI:10.1007/s11192-013-1030-8. View Complete Reference Online information Works that this work references Works that reference this work
Anab, F, Khaliq, A and Younas, I (2021). A Statistical Analysis of Covid-19 Data of Pakistan by Applying Benford’s Law. Journal of Applied Pharmacy 13, pp. 55-60. View Complete Reference No online information available Works that this work references Works that reference this work
Breunig, C and Goerres, A (2011). Searching for Electoral Irregularities in an Established Democracy: Applying Benford’s Law Tests to Bundestag Elections in Unified Germany. Electoral Studies 30(3) September 2011, pp. 534-545. View Complete Reference Online information Works that this work references Works that reference this work
Brown, MS (2012). Does the Application of Benford's Law Reliably Identify Fraud on Election Day? . Masters thesis, Georgetown University. View Complete Reference Online information Works that this work references Works that reference this work
Cantu, F and Saiegh, SM (2011). Fraudulent Democracy? An Analysis of Argentina’s Infamous Decade Using Supervised Machine Learning. Political Analysis 19 (4), pp. 409-433. DOI:10.1093/pan/mpr033. View Complete Reference Online information Works that this work references Works that reference this work
Cerri, J (2018). A fish rots from the head down: how to use the leading digits of ecological data to detect their falsification. Preprint, bioRxiv p. 368951. DOI:10.1101/368951. View Complete Reference Online information Works that this work references Works that reference this work
Deckert, J, Myagkov, M and Ordeshook, PC (2010). The Irrelevance of Benford's Law for Detecting Fraud in Elections. CALTECH working paper 9. View Complete Reference Online information Works that this work references Works that reference this work
Ensminger, J and Leder-Luis, J (2022). Measuring Strategic Data Manipulation: Evidence from a World Bank Project. Preprint, submitted for publication. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Ensminger, J and Leder-Luis, J (2022). Detecting Fraud in Development Aid. Preprint. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Filho, DF, Silva, L and Carvalhoa, E (2022). The forensics of fraud: Evidence from the 2018 Brazilian presidential election. Forensic Science International: Synergy, p. 100286. ISSN/ISBN:2589-871X. DOI:10.1016/j.fsisyn.2022.100286. View Complete Reference Online information Works that this work references Works that reference this work
Hussein, A (2019). An evaluation of last digit-based test as a tool for electoral fraud detection. Bachelor Thesis in Statistics, University of Gothenburg. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Jiménez, R and Hidalgo, M (2014). Forensic Analysis of Venezuelan Elections during the Cha ́vez Presidency. PLOS ONE 9(6), pp. 1-18. DOI:10.1371/journal.pone.0100884. View Complete Reference Online information Works that this work references Works that reference this work
Kalinin, K and Mebane, WR Jr (2017). When the Russians fake their election results, they may be giving us the statistical finger. The Washington Post January 11, 2017. View Complete Reference Online information Works that this work references Works that reference this work
Klimek, P, Jiménez, R, Hidalgo, M, Hinteregger, A and Thurner, S (2018). Forensic analysis of Turkish elections in 2017–2018. PLoS ONE 13(10), pp. e0204975. DOI:10.1371/journal.pone.0204975. View Complete Reference Online information Works that this work references Works that reference this work
Klimek, P, Yegorov, Y, Hanel, R and Thurner, S (2012). Statistical detection of systematic election irregularities. Proceedings of the National Academy of Science October 109(41), pp. 16469-16473. DOI:10.1073/pnas.1210722109. View Complete Reference Online information Works that this work references Works that reference this work
Kossovsky, AE (2014). Benford's Law: Theory, the General Law of Relative Quantities, and Forensic Fraud Detection Applications. World Scientific Publishing Company: Singapore. ISSN/ISBN:978-981-4583-68-8. View Complete Reference Online information Works that this work references Works that reference this work
Lacasa, L and Fernández-Gracia, J (2019). Election Forensics: Quantitative methods for electoral fraud detection. Forensic Science International 294, pp. e19-e22. DOI:10.1016/j.forsciint.2018.11.010. View Complete Reference Online information Works that this work references Works that reference this work
Leder-Luis, J (2020). The Economics of Fraud and Corruption. PhD Thesis, Massachusetts Institute of Technology. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Leemann, L and Bochsler, D (2014). A systematic approach to study electoral fraud. Electoral Studies, Vol. 35, Num. 0, pp. 33-47. ISSN/ISBN:0261-3794. DOI:10.1016/j.electstud.2014.03.005. View Complete Reference Online information Works that this work references Works that reference this work
Mack, V (2016). The Fingerprints of Fraud: An In-depth Study of Election Forensics with Digit Tests. PhD Thesis, Universitat Konstanz. View Complete Reference Online information Works that this work references Works that reference this work
Mack, V and Stoetzer, LF (2019). Election fraud, digit tests and how humans fabricate vote counts - An experimental approach. Electoral Studies 58, pp. 31-47 . DOI:10.1016/j.electstud.2018.12.002. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr (2013). Using Vote Counts’ Digits to Diagnose Strategies and Frauds: Russia. Prepared for presentation at the 2013 Annual Meeting of the American Political Science Asso- ciation, Chicago, August 29–September 1, 2013. View Complete Reference Online information Works that this work references Works that reference this work
Mebane, WR Jr and Klaver, J (2015). Election Forensics: Strategies versus Election Frauds in Germany. Prepared for presentation at the 2015 Annual Conference of the European Political Science Association, Vienna, Austria, June 25–27. View Complete Reference Online information Works that this work references Works that reference this work
Medzihorsky, J (2015). Election Fraud: A Latent Class Framework for Digit-Based Tests. Political Analysis 23(4), pp. 506-517. DOI:10.1093/pan/mpv021. View Complete Reference Online information Works that this work references Works that reference this work
Meyersson, E (2015). Digit Tests and the Peculiar Election Dynamics of Turkey’s November Elections. Online posting Nov. 4, 2015; last accessed Nov. 12, 2015. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Rauch, B, Göttsche, M, Brähler, G, Geidel, FA and Pietras, T (2014). Assessing the Accountability Reports of Political Parties in Germany using Benford's Law. Betriebswirtschaftliche Forschung und Praxis 66(2). View Complete Reference No online information available Works that this work references No Bibliography works reference this work
Rauch, B, Göttsche, M and El Mouaaouy, F (2013). LIBOR Manipulation – Empirical Analysis of Financial Market Benchmarks Using Benford's Law. Posted December 5, 2013. Available at SSRN: https://ssrn.com/abstract=2363895. Last accessed May 15, 2017. DOI:10.2139/ssrn.2363895. View Complete Reference Online information Works that this work references Works that reference this work
Rauch, B, Göttsche, M and Langenegger, S (2014). Detecting Problems in Military Expenditure Data Using Digital Analysis. Defence and Peace Economics 25(2), pp. 97-111. DOI:10.1080/10242694.2013.763438. View Complete Reference Online information Works that this work references Works that reference this work
Shikano, S and Mack, V (2011). When does 2nd Digit Benford´s Law-Test signal an election fraud? Facts or misleading test results. Jahrbücher für Nationalökonomie und Statistik 231 (5+6), 719-732. View Complete Reference Online information Works that this work references Works that reference this work
Vellwock, AE and Wei, A (2020). On the Benfordness of academic citations. Preprint posted on research gate.net; last accessed March 16, 2021. DOI:10.13140/RG.2.2.22108.82562. View Complete Reference Online information Works that this work references Works that reference this work
Wang, H, Liu, T, Zhang, Y, Wu, Y, Sun, Y, Dong, J and Huang, W (2023). Last Digit Tendency: Lucky Numbers and Psychological Rounding in Mobile Transactions. Fundamental Research. DOI:10.1016/j.fmre.2023.11.011. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Wei, A and Vellwock, AE (2020). Is COVID-19 data reliable? A statistical analysis with Benford's Law. Preprint, posted September. DOI:10.13140/RG.2.2.31321.75365/1. View Complete Reference Online information Works that this work references Works that reference this work