Variance Estimation for a Low Income Proportion

DOI10.1111/1467-9876.00417zbMath1111.62382OpenAlexW1967258172MaRDI QIDQ3435781

Yves G. Berger, C. J. Skinner

Publication date: 7 May 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://eprints.soton.ac.uk/7792/1/7792-01.pdf

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Statistical methods; economic indices and measures (91B82)

Related Items (7)

New non-parametric inferences for low-income proportions ⋮ Simplified Jackknife Variance Estimates for Fuzzy Measures of Multidimensional Poverty ⋮ Influence function-based empirical likelihood and generalized confidence intervals for the Lorenz curve ⋮ Resampling methods for estimating variance in surveys ⋮ Empirical likelihood-based inferences for a low income proportion ⋮ Taylor linearization sampling errors and design effects for poverty measures and other complex statistics ⋮ Empirical likelihood ratio test on quantiles under a density ratio model

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Quantile estimation with a complex survey design
• A Class of Decomposable Poverty Measures
• Calibration Estimators in Survey Sampling
• Consumption Inequality and Income Uncertainty
• Sampling Distributions of Relative Poverty Statistics
• Confidence Intervals for Medians and Other Position Measures
• Statistical inference for poverty measures with relative poverty lines

This page was built for publication: Variance Estimation for a Low Income Proportion