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Décloisonner l’analyse des données pour appuyer la modernisation des douanes: une illustration à partir du Gabon

Joël Cariolle (), Cyril Chalendard, Anne-Marie Geourjon () and Bertrand Laporte
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Anne-Marie Geourjon: Centre d'Etudes et de Recherches sur le Développement International(CERDI)

No 201618, Working Papers from CERDI

Abstract: Over the last few years, customs authorities in many developing countries have introduced modern risk management techniques relying on data mining and statistical scoring techniques. By demonstrating that risk analysis in customs may be a valuable tool to facilitate legal trade and combat fraud more effectively, these techniques have helped improving the performance of customs authorities. However, these risk management techniques may prove to be inefficient in a context of moral hazard and low-performance customs administration. One way to address this weakness is to rely on information gained from discrepancies in bilateral trade statistics. The analysis of discrepancies in bilateral trade statistics (or mirror analysis) is increasingly used to identify high-risk import operations and to estimate revenue losses. By comparing data on fraud recorded by the Gabon customs administration with discrepancies in Gabon’s bilateral trade data, this paper highlights the benefits for a customs administration of a joint analysis of fraud records and mirror trade statistics data, the latter being indicative of the fraud remaining to be detected. Such an analysis helps customs to target ex post audits on risky import declarations unadjusted by the frontline customs officer. Finally, we point that analyzing jointly data on fraud records and mirror trade statistics data may be useful to (i) identify imported products for which the fraud remaining to be detected is large and (ii) monitor the performance of customs inspections.

Keywords: Customs risk analysis; Performance of customs authorities; Customs fraud; Tax evasion; Administrative data; Mirror analysis. (search for similar items in EconPapers)
JEL-codes: F13 D73 K42 H83 H26 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-iue
Date: 2016-10
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Published in , 12 2017, pages

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http://publi.cerdi.org/ed/2016/2016.18.pdf (application/pdf)

Related works:
Working Paper: Décloisonner l’analyse des données pour appuyer la modernisation des douanes: une illustration à partir du Gabon (2018) Downloads
Working Paper: Décloisonner l’analyse des données pour appuyer la modernisation des douanes: une illustration à partir du Gabon (2017) Downloads
Working Paper: Décloisonner l’analyse des données pour appuyer la modernisation des douanes: une illustration à partir du Gabon (2017) Downloads
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