Exposición acumulada de polvo respirable como predictor de enfermedad respiratoria

En la minería de carbón se presenta exposición prolongada a polvo de carbón y a polvo de sílice en diferentes porcentajes, encontrándose una asociación con las alteraciones obstructivas, bronquitis crónica, Neumoconiosis de los trabajadores de carbón y Silicosis. Se han establecido varias formas de estimar el riesgo de desarrollar dichas enfermedades respiratorias no malignas secundarias a la exposición a estos polvos (carbón y sílice) en el ámbito ocupacional, siendo el cálculo de la exposición acumulada, la que ha demostrado mayor utilidad. Con el fin de establecer el riesgo de desarrollar alteraciones funcionales, a partir de la exposición acumulada de polvo respirable - y en los trabajadores de una empresa de minería a cielo abierto en Colombia, se estructuró este estudio de cohorte. Se contó con el registro de 566 trabajadores distribuidos en 29 Grupos de Exposición Similar (GES). El cálculo de la dosis acumulada se realizó considerando las medianas de exposición para cada GES y el tiempo de exposición de cada trabajador. Y posteriormente se estimó el riesgo empleando una regresión de poisson con varianza robusta. Los resultados más importantes del estudio muestran la exposición acumulada en niveles inferiores a los reportados en la literatura, sin embargo se encuentra un riesgo ligeramente elevado, IRR 1.000124 (IC95% 1 - 1.000248) en los expuestos, estimando que por cada unidad de medición de la exposición acumulada que se incremente, el riesgo de que aparezca una alteración respiratoria funcional se incrementa en 1.000124 veces entre los trabajadores expuestos y los no expuestos.

Neighborhood characteristics and the spatial concentration of crime: Evidence for Bogotá

Using a unique neighborhood crime dataset for Bogotá in 2011, this study uses a spatial econometric approach and examines the role of socioeconomic and agglomeration variables in explaining the variance of crime. It uses two different types of crime, violent crime represented in homicides and property crime represented in residential burglaries. These two types of crime are then measured in non-standard crime statistics that are created as the area incidence for each crime in the neighborhood. The existence of crime hotspots in Bogotá has been shown in most of the literature, and using these non-standard crime statistics at this neighborhood level some hotspots arise again, thus validating the use of a spatial approach for these new crime statistics. The final specification includes socioeconomic, agglomeration, land-use and visual aspect variables that are then included in a SARAR model an estimated by the procedure devised by Kelejian and Prucha (2009). The resulting coefficients and marginal effects show the relevance of these crime hotspots which is similar with most previous studies. However, socioeconomic variables are significant and show the importance of age, and education. Agglomeration variables are significant and thus more densely populated areas are correlated with more crime. Interestingly, both types of crimes do not have the same significant covariates. Education and young male population have a different sign for homicide and residential burglaries. Inequality matters for homicides while higher real estate valuation matters for residential burglaries. Finally, density impacts positively both crimes.

Network externalities across financial institutions

We propose and estimate a financial distress model that explicitly accounts for the interactions or spill-over effects between financial institutions, through the use of a spatial continuity matrix that is build from financial network data of inter bank transactions. Such setup of the financial distress model allows for the empirical validation of the importance of network externalities in determining financial distress, in addition to institution specific and macroeconomic covariates. The relevance of such specification is that it incorporates simultaneously micro-prudential factors (Basel 2) as well as macro-prudential and systemic factors (Basel 3) as determinants of financial distress. Results indicate network externalities are an important determinant of financial health of a financial institutions. The parameter that measures the effect of network externalities is both economically and statistical significant and its inclusion as a risk factor reduces the importance of the firm specific variables such as the size or degree of leverage of the financial institution. In addition we analyze the policy implications of the network factor model for capital requirements and deposit insurance pricing.

De lo micro a lo macro prudencial: Un análisis de la supervisión bancaria desde la econometría espacial

La crisis que se desató en el mercado hipotecario en Estados Unidos en 2008 y que logró propagarse a lo largo de todo sistema financiero, dejó en evidencia el nivel de interconexión que actualmente existe entre las entidades del sector y sus relaciones con el sector productivo, dejando en evidencia la necesidad de identificar y caracterizar el riesgo sistémico inherente al sistema, para que de esta forma las entidades reguladoras busquen una estabilidad tanto individual, como del sistema en general. El presente documento muestra, a través de un modelo que combina el poder informativo de las redes y su adecuación a un modelo espacial auto regresivo (tipo panel), la importancia de incorporar al enfoque micro-prudencial (propuesto en Basilea II), una variable que capture el efecto de estar conectado con otras entidades, realizando así un análisis macro-prudencial (propuesto en Basilea III).

Partial decentralization as a safeguard against favoritism

In this paper I investigate the optimal level of decentralization of tasks for the provision of a local public good. I enrich the well-known trade-off between internalization of spillovers (that favors centralization) and accountability (that favors decentralization) by considering that public goods are produced through multiple tasks. This adds an additional institutional setting, partial decentralization, to the classical choice between full decentralization and full centralization. The main results are that partial decentralization is optimal when both the variance of exogenous shocks to electorate’s utility is large and the electorate expects high performance from politicians. I also show that the optimal institutional setting depends on the degree of substitutability / complementarity between tasks. In particular, I show that a large degree of substitutability between tasks makes favoritism more likely, which increases the desirability of partial decentralization as a safeguard against favoritism.