This research analyses the connection between homicides, corruption, and economic development in Colombian government departments. This empirical research explores the trends of homicides, corruption, and economic development utilizing different estimation techniques: DEA and econometric analysis with panel data. The DEA is applied to assess socioeconomic performance and interactions of homicides, corruption, and economic progress in Colombian, according to the rank and uncertainty of corruption and violence. Econometric models are Generalized Method of Moments (GMM) estimates to determine the incidence of some institutional and socioeconomic variables on the score range of uncertainty and risk generated by DEA in terms of the level of corruption and homicides. Estimates with DEA data envelopment analysis shows that the risk score associated with homicides and corruption has different tendencies, socioeconomic and political instability are causes that explain the behaviour of this variable over time. The results of the panel data estimation show that there are several hypotheses and theories that explain the effects of corruption and violence on the economic development of countries. This finding indicates the importance of developing effective policies that strengthen public administration, the judicial structure, and public social spending and thus rupture the cycles of corruption and homicides that prevent the creation of sustained economic growth and development.
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.
Este trabajo propone una nueva metodología para identificar la existencia de contagio durante la crisis asiática de 1997 y la crisis mexicana de 1994, usando la prueba de causalidad de Granger en el dominio de la frecuencia propuesta por Breitung y Candelon (2006). Se encuentra evidencia de contagio e interdependencia intrarregional e interregional durante dichas crisis. La metodología permite analizar los resultados teniendo en cuenta las diversas definiciones de contagio de forma unificada y a su vez obtener resultados robustos ante los problemas de medición del contagio enunciados en la literatura.
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