Calibration adjustment for dealing with nonresponse in the estimation of poverty measures

DOI10.1007/978-3-030-94339-4_11OpenAlexW4285132797MaRDI QIDQ2091245

María Illescas-Manzano, Antonio Arcos-Rueda, Maria del Mar Rueda García, Sergio Martínez Puertas

Publication date: 1 November 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-94339-4_11

zbMATH Keywords

samplingcalibrationmissing datapoverty

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05)

Cites Work

• Estimation of the distribution function with calibration methods
• Treating nonresponse in the estimation of the distribution function
• A new resampling method for sampling designs without replacement: the doubled half bootstrap
• A Direct Bootstrap Method for Complex Sampling Designs From a Finite Population
• On estimating distribution functions and quantiles from survey data using auxiliary information
• Generalized calibration and application to weighting for non-response
• Has the National Minimum Wage Reduced UK Wage Inequality?
• Bootstrap Methods for Finite Populations
• Efficiency of propensity score adjustment and calibration on the estimation from non-probabilistic online surveys

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