total amount of remittance;Poverty & Inequality;Poverty and Equity;productive use of remittance;remittance on poverty reduction;access to sanitation facility;propensity ...  Exibir mais + score matching;consumption per capita;labor market outcome;Migration and Remittances;per capita consumption;Access to Electricity;garment industry;gender wage gap;improved water source;poverty gap index;foreign direct investment;assignment to treatment;human capital investment;manufacturing labor force;informal economic activity;labor market policy;expansion of export;children attending schools;unpaid overtime work;national poverty line;number of migrants;spatial price index;measures of welfare;investments in agriculture;age at marriage;distribution of consumption;level of consumption;human capital characteristics;source of income;high wage premium;expenditure in education;expenditure education;test of equality;access to water;source income;per capita term;types of migrants;child in school;median bias;apparel sector;asset index;apparel industry;durable good;Durable goods;school enrollment;rural area;descriptive statistic;extreme poverty;working condition;unemployed migrants;urban household;dependency ratio;garment worker;household head;poor household;children of ages;aggregate consumption;poverty incidence;remittance channel;labor participation;monthly consumption;welfare indicator;household level;labor outcomes;standard error;food component;summary statistic;apparel export;low-skilled worker;instrumental variable;recipient household;low-skilled job;minimum wage;construction material;asset accumulation;consumption distribution;job opportunities;job opportunity;laptop computer;consumption aggregate;garment factories;apparel worker;gas stove;total employment;selection model;send remittance;average distance;household consumption;migrant transfer;employment status;solid line;household fall;econometric approach;selection bias;migrant household;total sample;consumption estimate;geographical location;poverty status;Agricultural Investment;caloric intake;productive investment;machine operator;urban residence;leather products;methodological approach;empirical result;high probability;male worker;female labor;housing condition;dimensional vector;apparel manufacturing;rural counterpart;qualitative study;wage equation;unskilled worker;sensitivity analysis;early marriage;dry season;measure of use;household participation;wage income;technological progress;socio-economic advantage;hazard model;food cost;Learning and Innovation Credit;agricultural sector;construction sector;quota system;privileged access;labor standard;wage increase;development policy;Labor Law;household welfare;household budget;children's education;household survey;open access;living condition;trade union;human rights;safety standard;international community;social relevance;functional form;poverty estimate;positive externality;socio-economic status;young woman;young females;missing value;point estimate;map display;economic sector;welfare implication;Gender Gap;household characteristic;  Exibir menos -