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Detecting Anomalous Data in Household Surveys: Evidence for Argentina


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Barney, B. and Schulzke, K. (2016). Moderating “cry wolf” events with excess MAD on Benford´s law research and practice. Journal of forensic accounting research, 1(1), pp. 66-90.10.2308/jfar-51622Search in Google Scholar

Benford, F. (1938). The law of anomalous numbers. Proceedings of the American philosophical society, 78(4), pp. 551-572.Search in Google Scholar

Cella, R. and Zanolla, E. (2018). Benford´s law and transparency: an analysis of municipal expenditure. Brazilian business review, 15(4), pp. 331-347.10.15728/bbr.2018.15.4.2Search in Google Scholar

ECLAC (2018). Medición de la pobreza por ingresos. Actualización metodológica y resultados. Metodologías de la CEPAL N° 2. Available in: https://repositorio.cepal.org/bitstream/handle/11362/44314/1/S1800852_es.pdfSearch in Google Scholar

Drake, P. and Nigrini, M. (2000). Computer assisted analytical procedures using Benford´s law. Journal of accounting education, 18, pp. 127-146.10.1016/S0748-5751(00)00008-7Search in Google Scholar

Druica, E., Oancea, B. and Válsan, C. (2018). Benford´s law and the limits of digit analysis. International Journal of Accounting Information Systems, 31, pp. 75-82.10.1016/j.accinf.2018.09.004Search in Google Scholar

Finn, A. and Ranchhod, V. (2013). Genuine fakes: the prevalence and implications of fieldworker fraud in a large South African survey. Working paper series 115, Southern Africa labour and development research unit.Search in Google Scholar

Gunnel, S. and Todter, K. (2007). Does Benford´s law hold in economic research and forescasting?. Discussion paper 32, Deutsche Bundesbank.Search in Google Scholar

Henselmann, K., Scherr, E. and Ditter, D. (2012). Applying Benford´s law to individual financial reports: an empirical investigation on the basis of SEC XBRL filings. Working papers in accounting valuation auditing 2012-1 [rev.], FriedrichAlexander-Universität Erlangen-Nürnberg, Lehrstuhl für Rechnungswesen und Prüfungswesen, Nürnberg.Search in Google Scholar

Hill, T. (1995). A statistical derivation of the significant-digit law. Statistical Science, 10(4), pp. 354-363.10.1214/ss/1177009869Search in Google Scholar

Holz, C. (2014). The quality of China´s GDP statistics. China Economic Review, 30, pp. 309-338.10.1016/j.chieco.2014.06.009Search in Google Scholar

INDEC (2016). Mercado de trabajo: principales indicadores. Segundo trimestre de 2016. Consideraciones sobre la revisión, evaluación y recuperación de la Encuesta Permanente de Hogares (EPH). Anexo Informe de Prensa. Available in: https://www.indec.gob.ar/ftp/cuadros/sociedad/anexo_informe_eph_23_08_16.pdfSearch in Google Scholar

INDEC (2019). Bases de datos del mercado laboral: Encuesta Permanente de Hogares y Encuesta Anual de Hogares Urbanos. Available in: https://www.indec.gob.ar/indec/web/Institucional-Indec-BasesDeDatosSearch in Google Scholar

Judge, G. and Schechter, L. (2009). Detecting problems in survey data using benford´s law. Journal of human resources, 44, pp. 1-24.10.1353/jhr.2009.0010Search in Google Scholar

Medeiros, M., Castro, J. and Azevedo, L. (2018). Correcting the underestimation of top incomes: combining data from income tax reports and the Brazilian 2010 census. Social indicators research, 135(1), pp. 233-244.10.1007/s11205-016-1498-8Search in Google Scholar

Minoldo, S. and Born, D. (2019). Claroscuros. 9 años de datos bajo sospecha. Buenos Aires: ESEditora.Search in Google Scholar

Mir, T., Ausloos, M. and Cerquetti, R. (2014). Benford´ law predicted digit distribution of aggregated income taxes: the surprising conformity of Italian cities and regions. Physics and society, 87, pp. 261-279.Search in Google Scholar

Newcomb, S. (1881). Note on the frequency of use of the different digits in natural numbers. American journal of mathematics, 4(1), pp. 39-40.10.2307/2369148Search in Google Scholar

Nigrini, M. (1996). A taxpayer compliance application of Benford´s law. Journal of the American Taxation association, 18, pp. 72-92.Search in Google Scholar

Nigrini, M. (2017). Audit sampling using Benford´s law: A review of the literature with some new perspectives. Journal of emerging technologies in accounting, 14(2), pp. 29-46.10.2308/jeta-51783Search in Google Scholar

Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables in such that it can be reasonably supposed to have arisen form random sampling. The London, Edinburgh and Dublin Philosophical magazine and journal of science, 50(302), pp. 157-175.10.1080/14786440009463897Search in Google Scholar

Villas-Boas, S., Quizi, F. and Judge, G. (2015). Is Benford's law a universal behavioral theory? Econometrics, 3, pp. 698-708.Search in Google Scholar

Villas-Boas, S., Quizi, F. and Judge, G. (2017). Benford's Law and the FSD distribution of economic behavioral micro data. Physisca A, 486, pp. 711-719.10.1016/j.physa.2017.05.093Search in Google Scholar

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Business and Economics, Business Management, other, Mathematics and Statistics for Economists, Statitistics, Econometrics