living standards, predictions, safety net programs, statistical inference, poverty line, ethnic minority groups, calculation, time, errors, poverty reduction strategies
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research working papers, food consumption, schooling, dummy variables, poverty estimates, poverty rates, simulations, data collection, developing countries, housing, effects, measurement errors, variables, distributional effects, scenario, computation, measures, probabilities, estimators, poverty measures, poverty reduction, integrals, bootstrap, monte carlo simulation, data, space, measuring poverty, tests, sampling errors, household head, geographical regions, sample surveys, probability, survey design, econometrics, time series, standard errors, observation, rural farm, mathematical programming, household income, welfare level, matrix, poverty status, chronic poverty, income levels, research, standards, loans, ethnic minority, farm sector, consumption quintiles, modeling, improvement, random variables, testing, skewness, household heads, methods, household level, development research, poverty lines, consumption, understanding of poverty, female-headed households, poverty measurement, covariance, matrices, age, survey methodology, statistical quality control, confidence intervals, development issues, measurement of poverty, safety net, household, correlation, equations, samples, size, measurement, sample size, counting, cohort analysis, quality control, surveys, instrumental variables, weight, standard deviations, income dynamics, theory, estimating, regions, simulation, statistics, risk, stata, sampling, poverty, vulnerability to poverty, survey data, precision, poverty dynamics, estimates, duration analysis, household welfare, policy research, poverty rate, statistical analysis, poverty assessment, prediction, welfare measure, individual level, methodology, questionnaires, escape poverty, linear regression, missing observations, poverty alleviation, household living standards, missing data, poor households
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