|RELATED TOPICS:||Poverty Reduction and Labor|
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Past research has provided evidence of the role of some personal characteristics as risk factors for depression. However, few studies have examined jointly their specific impact and whether country characteristics change the probability of being depressed. In general, this is due to the use of single-country databases. The aim of this paper is to extend previous findings by employing a much larger dataset and including the country effects mentioned above. The paper estimates probit models with country effects and explores linkages between specific environmental factors and depression using data from the 2007 Gallup Public Opinion Poll. Findings indicate that depression is positively related to being a woman, adulthood, divorce, widowhood, unemployment and low income. Moreover, there is evidence of the significant positive association between inequality and depression, especially for those living in urban areas. Finally, some population’s characteristics facilitate depression (age distribution and religious affiliation).
This paper uses microdata from Brazilian vital statistics natality and mortality data between 2000 and 2010 to estimate the impact of in-utero exposure to local violence -measured by homicide rates- on birth outcomes. Focusing on small communities, where it is more plausible that local homicide rates reflect actual exposure to violence, the analysis shows that exposure to violence during pregnancy ... (View publication)
The objective of this paper is to review the most relevant, recent and rigorous literature on strategies to promote changes in demand for maternal and neonatal health services in rural areas of Latin America and to identify the strategies with most impact and lowest cost. The evidence shows that: i) covering direct expenses increases the use of prenatal care and institutional delivery and appe ... (View publication)
This paper attempts to identify the climatic effect on birth outcomes in Brazil and, thus, to predict the potential impact of climate change. Panel data models indicate that excess and lack of rainfall have the most important harmful effects on newborns’ health; temperature stresses and low relative humidity also have effects. The use of climate change forecasts for Brazil suggests a possible incr ... (View publication)
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