Detecting anomalous data in household surveys: Evidence for Argentina

Autores
González, Fernando Antonio Ignacio
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper advances in the detection of anomalous data in income reports of Argentina.In particular, income declared by households surveyed in the Encuesta Permanente deHogares (EPH, Permanent Household Survey in English) -for the period 2003-2017-and in the Encuesta Anual de Hogares Urbanos (EAHU, Annual Urban HouseholdSurvey in English) -for the period 2010-2014- are analyzed.A widely known technique in forensic accounting and auditing, such as Benford´s law-also known as the first digit law- is used. If the analyzed data were generated naturally-free of manipulation- it should follow the logarithmic distribution of Benford. The Chisquare test and the absolute mean deviation (MAD) are used for verification.The results suggest that the income reported in the EPH does not follow the Benforddistribution and the degree of compliance with this law decreases significantly between2007-2015 coinciding with the intervention period of the Instituto Nacional deEstadísticas y Censos (INDEC, National Institute of Statistics and Censuses inEnglish).
Fil: González, Fernando Antonio Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
Materia
INCOME
ENCUESTA PERMANENTE DE HOGARES
BENFORD´S LAW
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/147992
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Detecting anomalous data in household surveys: Evidence for ArgentinaGonzález, Fernando Antonio IgnacioINCOMEENCUESTA PERMANENTE DE HOGARESBENFORD´S LAWhttps://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5This paper advances in the detection of anomalous data in income reports of Argentina.In particular, income declared by households surveyed in the Encuesta Permanente deHogares (EPH, Permanent Household Survey in English) -for the period 2003-2017-and in the Encuesta Anual de Hogares Urbanos (EAHU, Annual Urban HouseholdSurvey in English) -for the period 2010-2014- are analyzed.A widely known technique in forensic accounting and auditing, such as Benford´s law-also known as the first digit law- is used. If the analyzed data were generated naturally-free of manipulation- it should follow the logarithmic distribution of Benford. The Chisquare test and the absolute mean deviation (MAD) are used for verification.The results suggest that the income reported in the EPH does not follow the Benforddistribution and the degree of compliance with this law decreases significantly between2007-2015 coinciding with the intervention period of the Instituto Nacional deEstadísticas y Censos (INDEC, National Institute of Statistics and Censuses inEnglish).Fil: González, Fernando Antonio Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; ArgentinaBucharest Academy of Economic Studies. Department of Statistics and Econometrics2020-01-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/147992González, Fernando Antonio Ignacio; Detecting anomalous data in household surveys: Evidence for Argentina; Bucharest Academy of Economic Studies. Department of Statistics and Econometrics; Journal of Social and Economic Statistics; 8; 2; 4-1-2020; 1-102285-388XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.2478/jses-2019-0001info:eu-repo/semantics/altIdentifier/url/https://www.sciendo.com/article/10.2478/jses-2019-0001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:52:14Zoai:ri.conicet.gov.ar:11336/147992instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:52:14.486CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Detecting anomalous data in household surveys: Evidence for Argentina
title Detecting anomalous data in household surveys: Evidence for Argentina
spellingShingle Detecting anomalous data in household surveys: Evidence for Argentina
González, Fernando Antonio Ignacio
INCOME
ENCUESTA PERMANENTE DE HOGARES
BENFORD´S LAW
title_short Detecting anomalous data in household surveys: Evidence for Argentina
title_full Detecting anomalous data in household surveys: Evidence for Argentina
title_fullStr Detecting anomalous data in household surveys: Evidence for Argentina
title_full_unstemmed Detecting anomalous data in household surveys: Evidence for Argentina
title_sort Detecting anomalous data in household surveys: Evidence for Argentina
dc.creator.none.fl_str_mv González, Fernando Antonio Ignacio
author González, Fernando Antonio Ignacio
author_facet González, Fernando Antonio Ignacio
author_role author
dc.subject.none.fl_str_mv INCOME
ENCUESTA PERMANENTE DE HOGARES
BENFORD´S LAW
topic INCOME
ENCUESTA PERMANENTE DE HOGARES
BENFORD´S LAW
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.2
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv This paper advances in the detection of anomalous data in income reports of Argentina.In particular, income declared by households surveyed in the Encuesta Permanente deHogares (EPH, Permanent Household Survey in English) -for the period 2003-2017-and in the Encuesta Anual de Hogares Urbanos (EAHU, Annual Urban HouseholdSurvey in English) -for the period 2010-2014- are analyzed.A widely known technique in forensic accounting and auditing, such as Benford´s law-also known as the first digit law- is used. If the analyzed data were generated naturally-free of manipulation- it should follow the logarithmic distribution of Benford. The Chisquare test and the absolute mean deviation (MAD) are used for verification.The results suggest that the income reported in the EPH does not follow the Benforddistribution and the degree of compliance with this law decreases significantly between2007-2015 coinciding with the intervention period of the Instituto Nacional deEstadísticas y Censos (INDEC, National Institute of Statistics and Censuses inEnglish).
Fil: González, Fernando Antonio Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina
description This paper advances in the detection of anomalous data in income reports of Argentina.In particular, income declared by households surveyed in the Encuesta Permanente deHogares (EPH, Permanent Household Survey in English) -for the period 2003-2017-and in the Encuesta Anual de Hogares Urbanos (EAHU, Annual Urban HouseholdSurvey in English) -for the period 2010-2014- are analyzed.A widely known technique in forensic accounting and auditing, such as Benford´s law-also known as the first digit law- is used. If the analyzed data were generated naturally-free of manipulation- it should follow the logarithmic distribution of Benford. The Chisquare test and the absolute mean deviation (MAD) are used for verification.The results suggest that the income reported in the EPH does not follow the Benforddistribution and the degree of compliance with this law decreases significantly between2007-2015 coinciding with the intervention period of the Instituto Nacional deEstadísticas y Censos (INDEC, National Institute of Statistics and Censuses inEnglish).
publishDate 2020
dc.date.none.fl_str_mv 2020-01-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/147992
González, Fernando Antonio Ignacio; Detecting anomalous data in household surveys: Evidence for Argentina; Bucharest Academy of Economic Studies. Department of Statistics and Econometrics; Journal of Social and Economic Statistics; 8; 2; 4-1-2020; 1-10
2285-388X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/147992
identifier_str_mv González, Fernando Antonio Ignacio; Detecting anomalous data in household surveys: Evidence for Argentina; Bucharest Academy of Economic Studies. Department of Statistics and Econometrics; Journal of Social and Economic Statistics; 8; 2; 4-1-2020; 1-10
2285-388X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.2478/jses-2019-0001
info:eu-repo/semantics/altIdentifier/url/https://www.sciendo.com/article/10.2478/jses-2019-0001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Bucharest Academy of Economic Studies. Department of Statistics and Econometrics
publisher.none.fl_str_mv Bucharest Academy of Economic Studies. Department of Statistics and Econometrics
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.22299

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