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Kaiser, M (2019). Benford’s Law As An Indicator Of Survey Reliability—Can We Trust Our Data?. Journal of Economic Surveys Vol. 00, No. 0, pp. 1–17.

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Abate, GT, de Brauw, A, Gibson, J, Hirvonen, K and Wolle, A (2020). Telescoping causes overstatement in recalled food consumption: Evidence from a survey experiment in Ethiopia. IFPRI Discussion Paper 1976. Washington, DC: International Food Policy Research Institute (IFPRI). DOI:10.2499/p15738coll2.134161. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Agyemang, EF, Nortey, ENN, Minkah, R and Asah-Asante, K (2023). The unfolding mystery of the numbers: First and second digits based comparative tests and its application to ghana’s elections. Model Assisted Statistics and Applications 18(2), pp. 183-192. DOI:10.3233/MAS-221418. View Complete Reference Online information Works that this work references Works that reference this work
Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford’s laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Physica A: Statistical Mechanics and its Applications 574, pp. 125969. DOI:10.1016/j.physa.2021.125969. View Complete Reference Online information Works that this work references Works that reference this work
Ausloos, M, Ficcadenti, V, Dhesi, G and Shakeel, M (2021). Benford's laws tests on S&P500 daily closing values and the corresponding daily log-returns both point to huge non-conformity. Preprint arXiv:2104.07962 [q-fin.ST]; last accessed April 30, 2021. To appear in: Physica A: Statistical Mechanics and its Applications, 574. DOI:10.1016/j.physa.2021.125969. View Complete Reference Online information Works that this work references No Bibliography works 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
Capalbo, F, Galati, L, Lupi, C and Smarra, M (2023). Local elections and the quality of financial statements in municipally owned entities: A Benford analysis. Chaos, Solitons and Fractals 173 p. 113752. DOI:10.1016/j.chaos.2023.113752. View Complete Reference Online information Works that this work references Works that reference this work
Cerqueti, R and Lupi, C (2023). Severe testing of Benford's law. TEST 32(2), pp. 677-694. DOI:10.1007/s11749-023-00848-z. View Complete Reference Online information Works that this work references Works that reference this work
Herteliu, C, Jianu, I, Dragan, IM, Apostu, S and Luchian, I (2021). Testing Benford’s Laws (non)conformity within disclosed companies’ financial statements among hospitality industry in Romania. Physica A: Statistical Mechanics and its Applications 582, p. 126221. DOI:10.1016/j.physa.2021.126221. View Complete Reference Online information Works that this work references Works that reference this work
Kauko, K (2024). How to detect what drives deviations from Benford’s law? An application to bank deposit data. Empir. Econ (2024). View Complete Reference Online information Works that this work references Works that 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
Silva, LEdO and Figueiredo, D (2024). A novel approach to evaluate data integrity: evidence from COVID-19 in China. Brazilian Journal of Biometrics 42(1), pp. 78-87. DOI:10.28951/bjb.v42i1.659. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Wang, D, Chen, F, Mao, J, Liu, N and Rong, F (2022). Are the official national data credible? Empirical evidence from statistics quality evaluation of China's coal and its downstream industries . Energy Economics, p. 106310. DOI:10.1016/j.eneco.2022.106310. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Whyman, G (2021). Origin, Alternative Expressions of Newcomb-Benford Law and Deviations of Digit Frequencies. Applied Mathematics 12, pp. 578-586. ISSN/ISBN:2152-7385. DOI:10.4236/am.2021.127041. View Complete Reference Online information Works that this work references Works that reference this work
Xu, X and Zeng, Z (2020). Did Alibaba Fake the Tmall “Double Eleven” Data? Evidence from Benford’s Law. In: Xu J., Duca G., Ahmed S., García Márquez F., Hajiyev A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1190. Springer, Cham. DOI:10.1007/978-3-030-49829-0_39. View Complete Reference Online information Works that this work references No Bibliography works reference this work