Subjects: | Absolute Poverty,
Absolute Poverty Line,
absolute terms,
Additive Poverty Measures,
Adult Equivalence,
Adult Equivalent,
Adult Equivalents,
agricultural production,
agricultural sector,
aid agencies,
Basic Needs,
Calorie Intake,
Calories per day,
cash income,
Changes in Poverty,
Cluster Sampling,
combat poverty,
community characteristics,
consumption expenditure,
consumption measure,
Correlation Coefficients,
corruption,
Cumulative Distribution,
Determinants of Poverty,
Developing Countries,
diet,
dimensions of poverty,
dissemination,
distributional effects,
domestic poverty,
drought,
Durable Goods,
economic growth,
Economic Indicators,
economic status,
employment income,
Equivalence Scales,
Estimates of Poverty,
Expenditure Function,
Farm Income,
farm prices,
farmers,
female-headed households,
fertility,
Food Consumption,
Food Consumption per Capita,
Food Expenditure,
food poverty,
Food Spending,
geographic targeting,
Goods Consumption,
government policies,
Headcount Index,
Health Care,
health workers,
HIPC,
household budget,
household budget survey,
household characteristics,
household composition,
household consumption,
Household Head,
household income,
Household Living Standards,
Household Size,
household survey,
Household Surveys,
household welfare,
housing,
housing conditions,
Impact Evaluation,
impact on poverty,
Incidence Analysis,
Income,
Income Distribution,
Income Inequality,
Income Poverty,
individual households,
individual welfare,
Inequality,
infant,
infant mortality,
infant mortality rates,
Insurance,
International Comparison,
International Poverty Comparisons,
labor force,
Learning,
legal status,
levels of education,
life expectancy,
Life Indicators,
limited resources,
living conditions,
malnutrition,
Measurement Error,
measurement of poverty,
Measuring Poverty,
Millennium Development Goals,
minority,
mountainous areas,
national level,
national poverty,
national poverty rate,
National Strategy,
Ngo,
number of adults,
number of households,
number of people,
nutritional status,
Old Age,
panel data sets,
Pensions,
per Capita Consumption,
per Capita Expenditure,
per Capita Expenditure Quintiles,
per capita income,
policy makers,
Political Economy,
Poor,
Poor Countries,
poor fishermen,
poor health,
poor households,
Poor people,
poorer areas,
poorer households,
poppy,
poppy cultivation,
population census,
population size,
Poverty Analysis,
Poverty Assessments,
Poverty Comparisons,
poverty data,
Poverty Deficit Curves,
Poverty Determinants,
Poverty Estimates,
Poverty Gap,
Poverty Gap Index,
Poverty Incidence,
Poverty Incidence Curve,
Poverty Incidence Curves,
Poverty Indexes,
Poverty Line,
Poverty Lines,
Poverty Mapping,
Poverty Measure,
Poverty measurement,
Poverty Measures,
Poverty Monitoring,
poverty poverty,
Poverty Profile,
Poverty Profiles,
Poverty Rate,
Poverty Rates,
Poverty Reduction,
poverty reduction strategies,
Poverty Reduction Strategy,
Poverty Reduction Strategy Paper,
Poverty Reduction Strategy Papers,
Poverty Severity,
powerlessness,
programs,
progress,
prostitution,
public policy,
public services,
Public Spending,
Purchasing Power,
Purchasing Power Parity,
quality control,
Quality of Life,
Random Sample,
Reduction of Poverty,
Regression Analysis,
remittances,
remote areas,
Response Bias,
running water,
Rural,
rural area,
Rural Areas,
rural energy,
rural finance,
sample size,
savings,
Schooling,
self-confidence,
self-employment,
social sciences,
Socio-Economic Survey,
Socioeconomic Surveys,
Standard Errors,
Stochastic Dominance,
Survey Data,
Targeting,
television,
TV,
Urban Migration,
urban poverty,
Village Fund,
Vulnerability,
Vulnerability to Poverty,
Vulnerable Households,
welfare indicator,
welfare indicators,
welfare measure,
welfare measures,
welfare of individuals,
young child,
young children, |