Small area estimation of poverty indicators
From MaRDI portal
Publication:86813
DOI10.1002/cjs.10051zbMath1235.62140OpenAlexW2152401561MaRDI QIDQ86813
Isabel Molina, J. N. K. Rao, Isabel Molina, J. N. K. Rao
Publication date: 17 March 2010
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.10051
Applications of statistics to economics (62P20) Applications of statistics to social sciences (62P25) Bootstrap, jackknife and other resampling methods (62F40) Empirical decision procedures; empirical Bayes procedures (62C12)
Related Items
Small area estimation of poverty proportions under unit-level temporal binomial-logit mixed models ⋮ Small area estimation with spatio-temporal Fay-Herriot models ⋮ Small area mean estimation after effect clustering ⋮ Small area estimation with mixed models: a review ⋮ Extended structure preserving estimation (ESPREE) for updating small area estimates of poverty ⋮ The Fay–Herriot model for multiply imputed data with an application to regional wealth estimation in Germany ⋮ Poverty and inequality in European regions ⋮ Classification trees for poverty mapping ⋮ Unnamed Item ⋮ Small area estimation of general parameters under complex sampling designs ⋮ Hierarchical Bayesian models for continuous and positively skewed data from small areas ⋮ On properties of empirical best predictors ⋮ Small area estimation under a temporal bivariate area-level linear mixed model with independent time effects ⋮ Non-parametric bootstrap mean squared error estimation for \(M\)-quantile estimators of small area averages, quantiles and poverty indicators ⋮ Small area estimation of general parameters with application to poverty indicators: a hierarchical Bayes approach ⋮ Estimation of poverty and inequality in small areas: review and discussion ⋮ Bivariate small‐area estimation for binary and gaussian variables based on a conditionally specified model ⋮ Regression trees for poverty mapping ⋮ Variable selection using conditional AIC for linear mixed models with data-driven transformations ⋮ Smoothing and Benchmarking for Small Area Estimation ⋮ Localised Estimates of Dynamics of Multi‐dimensional Disadvantage: An Application of the Small Area Estimation Technique Using Australian Survey and Census Data ⋮ A Comparison of Methods for Poverty Estimation in Developing Countries ⋮ My Chancy Life as a Statistician ⋮ Combining Data from New and Traditional Sources in Population Surveys ⋮ Small Area Quantile Estimation ⋮ Small area estimation under unit-level temporal linear mixed models ⋮ Interpolating Population Distributions using Public-Use Data: An Application to Income Segregation using American Community Survey Data ⋮ Small area estimation with spatially varying natural exponential families ⋮ Small area estimation of general finite-population parameters based on grouped data ⋮ Three-fold Fay-Herriot model for small area estimation and its diagnostics ⋮ Using poverty maps to improve the design of household surveys: the evidence from Tunisia ⋮ Small area estimation of general parameters: Bayesian transformed spatial prediction approach ⋮ Unnamed Item ⋮ District-level poverty estimation: a proposed method ⋮ A multidimensional view on poverty in the European Union by partial order theory ⋮ Time stable empirical best predictors under a unit-level model ⋮ A generalized mixed model for skewed distributions applied to small area estimation ⋮ Empirical best prediction under a nested error model with log transformation ⋮ MODEL-BASED DIRECT ESTIMATION OF SMALL-AREA DISTRIBUTIONS ⋮ Prediction of small area quantiles for the conservation effects assessment project using a mixed effects quantile regression model ⋮ Equalities between OLSE, BLUE and BLUP in the linear model ⋮ Pull your small area estimates up by the bootstraps ⋮ emdi ⋮ New important developments in small area estimation
Cites Work
- Unnamed Item
- A Class of Decomposable Poverty Measures
- On Parametric Bootstrap Methods for Small Area Prediction
- Bootstrap mean squared error of a small-area EBLUP
- Weighting for Unequal Selection Probabilities in Multilevel Models
- A pseudo-empirical best linear unbiased prediction approach to small area estimation using survey weights
- Micro-Level Estimation of Poverty and Inequality
- Estimation of Finite Population Domain Means
This page was built for publication: Small area estimation of poverty indicators