household risk management strategy;propensity score matching method;social risk management instrument;public social protection;roles of child;informal safety net;point ...  Voir la suite of departure;high risk area;loss of job;share of children;household survey data;agriculture and livestock;reduction in consumption;informal insurance arrangement;risk management arrangements;global financial crisis;national household survey;social protection program;risk mitigation strategy;loss of asset;age of marriage;primary school enrollment;shock and child;demand for children;perception of poverty;variability in rainfall;large scale farmer;crop and livestock;income of household;child by age;impact of climate;child protection agencies;children and youth;loss of life;rite of passage;son or daughter;household head;risk exposure;focus group;covariate shock;social network;idiosyncratic shock;animal disease;climate vulnerability;religious reasons;child outcome;foster child;related shock;community level;human capital;household interview;Risk Awareness;urban household;household vulnerability;household level;parental household;household poverty;extended family;national survey;maternal orphan;living condition;coping mechanism;child labor;rural area;Livestock Production;formal schooling;Street Children;fuel price;medical bill;home community;rural parent;temperature data;rainfall variability;Coping Mechanisms;climatic condition;rural population;adult migration;paternal orphan;cotton zone;household sample;social capital;total sample;risk prevention;idiosyncratic risk;mutual insurance;random sample;food price;meteorological stations;climate shock;high fertility;research literature;urban street;push factor;pull factor;representative sample;regression equation;social adaptation;double orphan;social control;orphaned children;survey respondent;child domestic;child fostering;vulnerable area;rural vulnerability;cattle owner;preventive action;climate impact;survey design;agricultural survey;income risk;interesting case;income shock;social relationship;agricultural production;resource persons;frequency distribution;climatic factor;covariate risk;unemployment rate;productive property;crop loss;seasonal migration;adult woman;driving force;temperature change;causal relationship;livestock producer;household management;local network;effective strategy;crisis affected;social practice;risky situation;food intake;real asset;income failure;gender distribution;household production;production input;rural family;monthly data;rainfall condition;nutritional value;early marriage;poverty situation;impact analysis;regression approach;convertible asset;mitigation efforts;tied labor;share tenancy;community arrangements;social security;crop diversification;poor household;informal saving;coping strategy;household asset;job loss;household income;project finance;average rainfall;average temperature;temperature variability;education level;age composition;monthly income;vulnerable household;foster parent;career path;rural community;Climate Risk;mitigative measure;labor contract;behavioral practice;profit function;religious motive;statistical agency;high share;survey sample;foster family;crop failure;selection bias;income source;climate condition;family skill;study design;adult man;child education;adolescent boy;cotton growing;adolescent girl;policy purposes;household refuse;Temporary Migration;basic consumption;future consumption;risk taking;secure environment;drastic measures;logistic regression;religious studies;child trafficking;mobility rate;domestic servant;perceived vulnerability;severe drought;agricultural activity;  Réduire