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Corruption and instutitions: An analysis for the Colombian case
This paper identifies the main determinants of errors in the allocation of spending by the Colombian Government. Using information from the Electronic Public Procurement System (SECOP), the determinants of the probability of an addition to a contract are identified. The errors of the government can...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509193/ https://www.ncbi.nlm.nih.gov/pubmed/32995598 http://dx.doi.org/10.1016/j.heliyon.2020.e04874 |
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author | Pulido, Nicolás Ronderos Poveda, Alexander Cotte Carvajal, Jorge Enrique Martínez |
author_facet | Pulido, Nicolás Ronderos Poveda, Alexander Cotte Carvajal, Jorge Enrique Martínez |
author_sort | Pulido, Nicolás Ronderos |
collection | PubMed |
description | This paper identifies the main determinants of errors in the allocation of spending by the Colombian Government. Using information from the Electronic Public Procurement System (SECOP), the determinants of the probability of an addition to a contract are identified. The errors of the government can be interpreted as an approximation of their corruption. The average income and educational level of a colombian department are found to directly influence the probability of an addition. Using the estimation of the binary choice models, the forecast error of an addition is estimated, it is found that public and civil works contracts have more forecast error, forming an ideal mechanism for thefts and accumulation of bribes. Our results show that predicting an addition can be done with high certainty. |
format | Online Article Text |
id | pubmed-7509193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75091932020-09-28 Corruption and instutitions: An analysis for the Colombian case Pulido, Nicolás Ronderos Poveda, Alexander Cotte Carvajal, Jorge Enrique Martínez Heliyon Research Article This paper identifies the main determinants of errors in the allocation of spending by the Colombian Government. Using information from the Electronic Public Procurement System (SECOP), the determinants of the probability of an addition to a contract are identified. The errors of the government can be interpreted as an approximation of their corruption. The average income and educational level of a colombian department are found to directly influence the probability of an addition. Using the estimation of the binary choice models, the forecast error of an addition is estimated, it is found that public and civil works contracts have more forecast error, forming an ideal mechanism for thefts and accumulation of bribes. Our results show that predicting an addition can be done with high certainty. Elsevier 2020-09-18 /pmc/articles/PMC7509193/ /pubmed/32995598 http://dx.doi.org/10.1016/j.heliyon.2020.e04874 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Pulido, Nicolás Ronderos Poveda, Alexander Cotte Carvajal, Jorge Enrique Martínez Corruption and instutitions: An analysis for the Colombian case |
title | Corruption and instutitions: An analysis for the Colombian case |
title_full | Corruption and instutitions: An analysis for the Colombian case |
title_fullStr | Corruption and instutitions: An analysis for the Colombian case |
title_full_unstemmed | Corruption and instutitions: An analysis for the Colombian case |
title_short | Corruption and instutitions: An analysis for the Colombian case |
title_sort | corruption and instutitions: an analysis for the colombian case |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7509193/ https://www.ncbi.nlm.nih.gov/pubmed/32995598 http://dx.doi.org/10.1016/j.heliyon.2020.e04874 |
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