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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. 591-616.

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Abdulazizov, H (2021). Real Unemployment Measurement in Azerbaijan. Baku Research Institute September 27. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Akkaş, ME (2015). Altın Getirileri Dağılımının Newcomb-Benford Kanunu İle Testi [Testing Distribution of Gold Returns by Newcomb-Benford Law]. Uluslararası Sosyal Araştırmalar Dergisi 8(40), pp. 577-584. DOI:10.17719/jisr.20154013940. TUR View Complete Reference Online information Works that this work references Works that reference this work
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
Balashov, VS, Yan, Y and Zhu, X (2020). Who Manipulates Data During Pandemics? Evidence from Newcomb-Benford Law. Preprint arXiv:2007.14841 [econ.GN]; last accessed March 10, 2021. View Complete Reference Online information Works that this work references Works that reference this work
Balashov, VS, Yan, Y and Zhu, X (2021). Using the Newcomb–Benford law to study the association between a country’s COVID-19 reporting accuracy and its development. Scientific Reports 11, pp. 22914. DOI:10.1038/s41598-021-02367-z. View Complete Reference Online information Works that this work references Works that reference this work
Bannier, C, Ewelt-Knauer, C, Lips, J and Winker, P (2020). Benford’s Law and Its Application to Detecting Financial Fraud and Manipulation. Ch. 18 in: Corruption and Fraud in Financial Markets: Malpractice, Misconduct and Manipulation, C. Alexander and D. Cumming (Eds.), John Wiley & Sons: Chichester, U.K., pp. 473-504. ISSN/ISBN:978-1-119-42177-1. View Complete Reference No online information available Works that this work references Works that reference this work
Bannier, C, Ewelt-Knauer, C, Winker, P and Lips, J (2019). Benford’s law and its application to detecting financial fraud and manipulation. Chapter 5 of Econometric Modelling of Energy & Financial Markets, Doctoral Thesis of Johannes Lips, Justus-Liebig University Gießen . View Complete Reference Online information Works that this work references No Bibliography works reference this work
Berger, A and Hill, TP (2015). An Introduction to Benford's Law. Princeton University Press: Princeton, NJ. ISSN/ISBN:9780691163062. View Complete Reference Online information Works that this work references Works that reference this work
Campolieti, M (2021). COVID-19 deaths in the USA: Benford’s law and under-reporting. Journal of Public Health, fdab161, pp. 1-4. DOI:10.1093/pubmed/fdab161. View Complete Reference Online information Works that this work references Works that reference this work
Cerioli, A, Barabesi, L, Cerasa, A, Menegatti, M and Perrotta, D (2019). Newcomb-Benford law and the detection of frauds in international trade. Proceedings of the National Academy of Sciences 116(1), pp. 106-115. DOI:10.1073/pnas.1806617115. View Complete Reference Online information Works that this work references Works that reference this work
Cerqueti, R, Maggi, M and Riccioni, J (2022). Statistical methods for decision support systems in finance: how Benford’s law predicts financial risk. Annals of Operations Research. DOI:10.1007/s10479-022-04742-z. View Complete Reference Online information Works that this work references No Bibliography works 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
Dang, CT, Burger, R and Owens, T (2019). Do better-performing nongovernmental organizations report more accurately? Evidence from financial accounts in Uganda. Economic Development and Cultural Change, forthcoming. DOI:10.1086/703099. View Complete Reference Online information Works that this work references Works that reference this work
Dang, CT and Owens, T (2019). Does transparency come at the cost of charitable services? Evidence from investigating British charities. CREDIT Research Paper 19/02; published (2020) in Journal of Economic Behavior & Organization 172, pp. 314–343. View Complete Reference Online information Works that this work references Works that reference this work
Deleanu, IS (2017). Do Countries Consistently Engage in Misinforming the International Community about Their Efforts to Combat Money Laundering? Evidence Using Benford's Law. PLoS One 12(1), p. e0169632. DOI:10.1371/journal.pone.0169632. View Complete Reference Online information Works that this work references Works that reference this work
Demir, B and Javorcik, B (2017). Forensics, Elasticities and Benford’s Law: Detecting Tax Fraud in International Trade. E-print posted on semantic scholar.org, Dec 22, 2017. View Complete Reference Online information Works that this work references Works that reference this work
Demir, B and Javorcik, B (2018). Using Benford’s Law to detect tax fraud in international trade. VOX CEPR Policy Portal, posted on September 27, 2018; last accessed June 8, 2019. View Complete Reference Online information Works that this work references Works that reference this work
Demir, B and Javorcik, B (2020). Trade Policy Changes, Tax Evasion and Benford’s Law. Journal of Development Economics, 144. DOI:10.1016/j.jdeveco.2020.102456. 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
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
Grammatikos, T and Papanikolaou, NI (2016). Applying Benford’s Law to Detect Accounting Data Manipulation in the Banking Industry. Luxembourg School of Finance Working Paper Series 11. DOI:10.2139/ssrn.2352775. View Complete Reference Online information Works that this work references Works that reference this work
Grammatikos, T and Papanikolaou, NI (2021). Applying Benford’s law to detect accounting data manipulation in the banking industry. Journal of Financial Services Research 59, pp. 115-142. DOI:10.1007/s10693-020-00334-9. View Complete Reference Online information Works that this work references Works that reference this work
Guliyev, H (2021). COVID-19 Data Published by Turkey is Fake or Not?. Preprint on ResearchSquare.com. Published in Systematic Reviews in Pharmacy 13(1), pp. 24-29 (2022).. View Complete Reference Online information Works that this work references Works that reference this work
Holz, CA (2013). The Quality of China's GDP Statistics. Munich Personal RePEc Archive Paper No. 51864; available online at http://mpra.ub.uni-muenchen.de/51864/; last accessed June 23, 2014. View Complete Reference Online information Works that this work references Works that reference this work
Holz, CA (2014). The quality of China’s GDP statistics. China Economic Review, vol. 30, September 2014, pp. 309–338. DOI:10.1016/j.chieco.2014.06.009. View Complete Reference Online information Works that this work references Works that reference this work
Huang, Y, Niu, Z and Yang, C (2020). Testing firm-level data quality in China against Benford’s Law. Economics Letters 192, 109182. DOI:10.1016/j.econlet.2020.109182. View Complete Reference Online information Works that this work references Works that reference this work
Jianu, Io and Jianu, Iu (2021). Reliability of Financial Information from the Perspective of Benford’s Law. Entropy 23(5), article no. 557. DOI:10.3390/e23050557. View Complete Reference Online information Works that this work references Works that reference this work
Jošić , H and Žmuk, B (2020). The Application of the Law of Anomalous Numbers on Global Food Prices in Examining Psychological Pricing Strategies. Journal of International Food & Agribusiness Marketing, pp. 1-16. DOI:10.1080/08974438.2020.1796880 . View Complete Reference Online information Works that this work references Works that reference this work
Jošić, H and Žmuk, B (2018). The Application of Benford’s Law in psychological pricing detection. Zbornik radova Ekonomskog fakulteta Sveučilišta u Mostaru, No. 24, pp. 37-57. View Complete Reference Online information Works that this work references Works that reference this work
Jošić, H and Žmuk, B (2021). Assessing the Quality of COVID-19 Data: Evidence from Newcomb-Benford Law. Facta Universitatis, in press. DOI:10.22190/FUEO210326008J. View Complete Reference Online information Works that this work references Works that reference this work
Koch, C and Okamura, K (2020). Benford's Law and COVID-19 Reporting. Posted on SSRN April 28, 2020; last accessed November 17, 2020. Published in Econ Lett 2020;196(109973) . View Complete Reference Online information Works that this work references Works that reference this work
Kopczewski, T and Okhrimenko, I (2019). Playing with Benford’s Law. e-mentor 80(3), pp. 34−44 . View Complete Reference Online information Works that this work references Works that reference this work
Larsen, JE (2017). Benford’s Law and Earnings Management Detection: The Case of REITs. Journal of Forensic & Investigative Accounting 9(2), pp. 779-790. View Complete Reference Online information Works that this work references Works that reference this work
Le, T and Lobo, GJ (2022). Audit Quality Inputs and Financial Statement Conformity to Benford’s Law. Journal of Accounting, Auditing & Finance 37(3), pp. 586–602 . DOI:10.1177/0148558X20930467. 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
Martínez-Sánchez, F (2021). Tracking The Price of Almonds in Spain. Journal of Competition Law & Economics, nhab002. DOI:10.1093/joclec/nhab002. View Complete Reference Online information Works that this work references Works that reference this work
McDonald, BD and Goodman, CB (2020). The Truth about Honesty in the Nonprofit Sector. SocArXiv 48g5c, Center for Open Science. DOI:10.31219/osf.io/48g5c. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Miller, SJ (ed.) (2015). Benford's Law: Theory and Applications. Princeton University Press: Princeton and Oxford. ISSN/ISBN:978-0-691-14761-1. View Complete Reference Online information Works that this work references Works that reference this work
Mir, TA (2014). The Benford law behavior of the religious activity data. Physica A 408, pp. 1-9. DOI:10.1016/j.physa.2014.03.074. View Complete Reference Online information Works that this work references Works that reference this work
Mir, TA (2016). The leading digit distribution of the worldwide illicit financial flows. Quality & Quantity vol. 50, p. 271-281. DOI:10.1007/s11135-014-0147-z. View Complete Reference Online information Works that this work references Works that reference this work
Mir, TA, Ausloos, M and Cerqueti, R (2014). Benford’s law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions. Eur. Phys. J. B (2014) 87: 261. ISSN/ISBN:1434-6028. DOI:10.1140/epjb/e2014-50525-2. View Complete Reference Online information Works that this work references Works that reference this work
Pavlović, V, Knežević, G, Joksimović, M and Joksimović, D (2019). Fraud Detection in Financial Statements Applying Benford's Law with Monte Carlo Simulation. Acta oeconomica 69(2), pp.217-239. DOI:10.1556/032.2019.69.2.4. View Complete Reference Online information Works that this work references Works that reference this work
Rauch, B, Göttsche, G, Brähler, G and Kronfeld, T (2014). Deficit versus Social Statistics: Empirical Evidence for the Effectiveness of Benford’s Law. Applied Economics Letters 21(3), pp. 147-151. DOI:10.1080/13504851.2013.844319. View Complete Reference Online information Works that this work references Works that reference this work
Riccioni, J and Cerqueti, R (2018). Regular paths in financial markets: Investigating the Benford’s law. Chaos, Solitons and Fractals 107, pp. 186-194. DOI:10.1016/j.chaos.2018.01.008. 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
Winker, P (2016). Assuring the quality of survey data: Incentives, detection and documentation of deviant behavior. Statistical Journal of the IAOS 32 (3), pp. 295–303. DOI:10.3233/SJI-161012. View Complete Reference Online information Works that this work references Works that reference this work
Žmuk, B and Jošić, H (2021). Do countries diminish the number of new COVID-19 cases? A test using Benford’s law and uniform distribution. Proceedings of 3rd Conference titled "Economic System of the European Union and Accession of Bosnia and Herzegovina - Challenges and Policies Ahead", Mostar, Bosnia and Herzegovina, pp. 63-74. View Complete Reference Online information Works that this work references Works that reference this work