5 resultados para Poverty trap


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The income support programs are created with the purpose of fighting both, the poverty trap and the inactivity trap. The balance between both is fragile and hard to find. Thus, the goal of this work is to contribute to solve this issue by finding how income support programs, particularly the Portuguese RSI, affect transitions to employment. This is made through duration analysis, namely using Cox and Competing Risks models. A particular feature is introduced in this work as it incorporates the possibility of Defective Risks. The estimated hazard elasticity with respect to the amount of RSI received for individuals who move to employment is -0,41. More than a half of RSI receivers stays for more than a year and the probability of never leaving to employment is 44%. The results appear to indicate that RSI has affected negatively transitions to employment.

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

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This paper evaluates the extent to which war-related psychological distress causes poverty. The endogeneous nature of mental distress is addressed by using exposure to the civil war in Mozambique as an instrument. It is found that exposure to war has a significant and positive long-lasting impact on mental distress. Furthermore, the causal impact of war-related psychological distress on income and wealth is shown to be significant, negative, and nonnegligible. One standard deviation increase in mental distress decreases income by half a standard deviation. These findings are robust to alternative specifications, including the use of an alternative database on the incidence of PTSD in Mozambique.

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The aim of this article is to measure poverty in Portugal from an absolute perspective. We estimated several absolute poverty lines and defined maximum and minimum thresholds. We applied aggregation measures to these thresholds and constructed probit models to assess the effect of some variables on poverty. The intervals obtained contain the poverty lines constructed by other approaches. We got evidence that poverty is positively correlated with the number of people in the household, with living alone; negatively correlated with the number of workers in the household, the share on non-food expenditure and the existence of a heating device at home.