Risk prevention of public procurement in the brazilian government using credit scoring

Leonardo Sales ()

OBEGEF Working Papers from OBEGEF - Observatório de Economia e Gestão de Fraude, OBEGEF Working Papers on Fraud and Corruption

Abstract: Credit Scoring models are statistical applications used by financial institutions to classify applicants as to the possibility of becoming defaulters. This work aims to bring that good experience from the private sector to the governmental context, seeking to adapt it and test its performance in identifying bidders likely to fail in the fulfillment of obligations under contracts with the government. The results of methods based on different statistical techniques are compared. We hope to contribute to the preventive control of the contractual risks, both by the public manager as by the agencies of government control.

Keywords: Government Auditing; Data Analysis; Decision Tree; Logistic Regression; Credit Scoring (search for similar items in EconPapers)
Pages: 27 pages
Date: 2013-01
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Persistent link: https://EconPapers.repec.org/RePEc:por:obegef:019

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