labor force participation rate of man;female labor force participation;female labor force participation rates;highly educated women;employment and unemployment;per capita ...  Voir la suite growth rate;educational attainment of woman;labor market due;average age at marriage;structure of employment;return to education;unpaid family worker;married woman;education level;Higher Education;working age population;access to job;share of woman;household head;impact of religion;opportunity for woman;casual wage employment;cumulative distribution function;victims of exploitation;lack of education;labor market development;share of employment;reason for migration;entire labor force;share of work;labor market opportunities;secondary school enrollment;ratio of male;average weekly earnings;earnings of man;impact of man;increase in labor;high growth rate;participation among women;persistent gender gap;negative income shock;impact of migration;labor demand growth;economic growth rate;pure income effect;expansion of education;returns to schooling;shed more light;agriculture and livestock;household income;social stigma;explanatory variable;female population;estimation result;negative effect;labor supply;domestic service;decomposition analysis;fertility decline;female workers;salaried employment;real wage;wage effect;Women's Education;graduate education;female employment;business service;employment share;substitution effect;rural area;social group;female migrant;subsidiary activity;low-skilled job;female education;demographic dividend;agricultural activity;earnings capacity;employment opportunities;socioeconomic status;migration datum;sample mean;social status;education group;employment survey;household earning;marginal effect;female participation;intermediate level;married man;white-collar occupation;administrative occupation;illiterate woman;high wage;supply side;employment growth;earnings data;econometric analysis;urban woman;educated woman;survey data;random selection;local supply;employment opportunity;utility cost;age structure;young child;labor income;observed change;manufacturing jobs;blinder decomposition;unearned income;relative supply;normal good;district population;graduate degree;opportunity cost;social work;household asset;individual preference;marriage market;urban sample;participation effect;asset index;high employment;cross-section data;industrial distribution;individual level;graduate level;estimation method;population number;agricultural employment;permanent income;income insecurity;household wealth;descriptive statistic;muslim woman;primary level;household level;standard error;utility maximization;empirical model;male partners;formal schooling;rural population;income source;female migration;exogenous variable;job opportunities;farm activity;unmarried woman;casual worker;sampling strategy;wage growth;household questionnaire;educational distribution;wage increase;average wage;total employment;local opportunities;job opportunity;farm activities;family background;educational status;increased demand;gender assessment;income decline;marriage rate;unemployment rate;indian population;demographic change;empirical analysis;negative correlation;cultural barrier;bargaining power;educated men;empirical evidence;educated population;clerical worker;productivity growth;white-collar worker;agricultural occupation;household production;income rise;simple model;education expansion;micro surveys;productive employment;social attitude;european society;survey respondent;decomposition results;manufacturing sector;urban employment;rural-urban migration;high share;supply increase;income security;small fraction;retail trade;separate category;reference level;  Réduire