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The long-run impact of orphanhood (Inglês)

This paper presents unique evidence that orphanhood matters in the long run for health and education outcomes, in a region of Northwestern Tanzania. The paper studies a sample of 718 non-orphaned children surveyed in 1991-94, who were traced and re-interviewed as adults in 2004. A large proportion, 19 percent, lost one or more parents before the age of 15 in this period, allowing the authors to assess the permanent health and education impacts of orphanhood. The analysis controls for a wide range of child and adult characteristics before orphanhood, as well as community fixed effects. The findings show that maternal orphanhood has a permanent adverse impact of 2 cm of final height attainment and one year of educational attainment. Expressing welfare in terms of consumption expenditure, the result is a gap of 8.5 percent compared with similar children whose mother survived till at least their 15th birthday.


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    Beegle, Kathleen, De Weerdt, Joachim, Dercon, Stefan

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    Documento de trabalho sobre pesquisa de políticas

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    The long-run impact of orphanhood

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    Demographic and Health Survey;household consumption per capita;per capita consumption;average treatment effect;fixed effect;years of schooling;household head age;number of orphans;characteristics of child;total consumption expenditure;panel data analysis;extended family network;impact of shock;fixed effect model;impact on health;oral rehydration salt;return to education;loss in consumption;aids prevention campaigns;access to school;human capital level;human capital indicators;panel data set;propensity score matching;mortality of man;adult life expectancy;children at risk;terms of consumption;development research group;impact of health;human capital investment;human capital formation;demand for school;household fixed effect;investments in education;household survey data;health status;adult death;double orphan;household characteristic;initial schooling;paternal orphan;maternal death;standard error;education outcome;orphan status;living arrangement;maternal orphan;poor household;school participation;causal link;parental death;young age;long-term impact;baseline data;baseline survey;causal impact;attrition rates;better-off household;living standard;enrollment rate;regression results;cross-sectional data;regression analysis;annual meetings;health outcome;health child;standard deviation;biological child;adult mortality;basic specification;subsequent growth;young adult;school year;alternative specification;causal effect;descriptive statistic;longitudinal data;coping strategy;welfare outcome;household data;annual crop;model prediction;proxy measure;empirical analysis;empirical specification;policy prescriptions;sample selection;school outcome;children's education;long-term effect;financial consequence;cement floor;educational achievement;rainfall pattern;socioeconomic differences;development study;community control;foster parent;positive relationship;health history;aids epidemic;child fostering;independent variable;Health Service;school-age child;comparison units;child weight;poor health;anthropometric information;family wealth;anthropometric data;average age;parental illness;gender dimension;robustness check;behavioral difference;surviving parent;household size;school effect;female headship;negative effect;ill parents;universal availability;parental education;family background;marginal effect;earnings regression;parental involvement;manufacturing enterprise;income data;livestock holding;foster child;health facility;measles vaccination;Medical care;healthy child;longitudinal survey;additive effect;empirical study;land holding;financial considerations;orphan care;income loss;cross-section data;research show;malnourished child;intergenerational impact;socioeconomic data;socioeconomic survey;Child Health;Early childhood;children of ages;epidemiological data;aids prevalence;income effect;demographic impact;aids pandemic;macroeconomic impact;health effect;permanent education;life-time welfare;survey period;young child;wealth effect;home production;random selection;socio-economic status;chronic illness;education gap;



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