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Bredl, S, Winker, P and Kötschau, K (2012). A statistical approach to detect interviewer falsification of survey data. Survey Methodology, Vol. 38, No. 1, pp. 1-10.

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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
Bredl, S, Storfinger, N and Menold, N (2011). A literature review of methods to detect fabricated survey data. Discussion Paper, No. 56, Justus-Liebig- Universität Gießen, Zentrum für Internationale Entwicklungs- und Umweltforschung (ZEU), Giessen. Also appears in: Interviewers’ deviations in surveys. Ed. by N. Menold, P. Winker, and R. Porst. Schriften zur empir. View Complete Reference Online information Works that this work references Works that reference this work
DeMatteis, JM, Young, LJ, Dahlhamer, J, Langley, RE, Murphy, J, Olson, K and Sharma, S (2020). Falsification in Surveys. Tech Report prepared for AAPOR Council and the Executive Committee of the American Statistical Association by the members of the Task Force on Data Falsification. View Complete Reference Online information Works that this work references No Bibliography works 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
García, PMC (2019). Aplicación de la ley de Benford en la detección de fraudes. Universidad y Sociedad 11(5), pp. 421-427. SPA 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
Pinilla, J, López-Valcárcel, BG, González-Martel, C and Peiro, S (2018). Pinocchio testing in the forensic analysis of waiting lists: using public waiting list data from Finland and Spain for testing Newcomb-Benford’s Law. BMJ open,8(5), pp. 1-6. ISSN/ISBN:2044-6055. DOI:10.1136/bmjopen-2018-022079. View Complete Reference Online information Works that this work references Works that reference this work
Rosmansyah, Y, Santoso, I, Hardi, AB, Putri, A and Sutikno, S (2019). Detection of Interviewer Falsification in Statistics Indonesia’s Mobile Survey. International Journal on Electrical Engineering and Informatics 11(3), pp. 474-484. View Complete Reference Online information Works that this work references No Bibliography works reference this work
Schräpler, J-P (2011). Benford's Law as an Instrument for Fraud Detection in Surveys Using the Data of the Socio-Economic Panel (SOEP). Jahrbücher für Nationalökonomie und Statistik 231(5-6). DOI:10.1515/jbnst-2011-5-609. View Complete Reference Online information Works that this work references Works that 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