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?:abstract
  • The aim of the study is to assess the bias of a hypothetical sampling strategy, in which the basis for inference is a non-probability sample, and the estimation is strengthened by additional information on auxiliary variables from an independent probability sample and the entire population, and the subject of the study is the parameters of household income distribution. The study is based on a Monte Carlo simulation on a set of unit data from the EU-SILC survey carried out in Poland in 2022. The author's study consists of reconstructing the probable population, drawing non-probability samples and probability reference samples, estimating population parameters, and assessing the bias of the results. The factors controlled in the simulation are the non-probability sample defectiveness, the type of population parameter, the type of estimator, the number of auxiliary variables, and the sample size. The results indicated that the defectiveness of a non-probability sample has a negative impact on the bias of estimates. The use of socio-demographic variables to estimate the parameters of the income distribution from a non-probability sample usually reduces the bias of the estimates, but the result may be unsatisfactory if the data defect index is large. (xsd:string)
?:author
?:comment
  • (SILC) (xsd:string)
?:dataSource
  • EU-SILC-Bibliography (xsd:string)
?:dateModified
  • 2024 (xsd:gyear)
?:datePublished
  • 2024 (xsd:gyear)
is ?:hasPart of
?:inLanguage
  • english (xsd:string)
?:name
  • The bias of the estimation of income distribution parameters in non-probability surveys: an experiment based on EU-SILC microdata (xsd:string)
?:publicationType
  • inproceedings (xsd:string)
?:reference
?:sourceCollection
  • 42nd Conference on Multivariate Statistical Analysis (MSA'2024), 2024, 04-11-2024 - 06-11-2024, Łódź, Polska (xsd:string)
?:sourceInfo
  • Bibsonomy (xsd:string)
  • In 42nd Conference on Multivariate Statistical Analysis (MSA'2024), 2024, 04-11-2024 - 06-11-2024, Łódź, Polska, 2024 (xsd:string)
?:studyGroup
  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
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  • 2024 (xsd:string)
  • FDZ_GML (xsd:string)
  • SILC (xsd:string)
  • SILC_input2024 (xsd:string)
  • SILC_pro (xsd:string)
  • english (xsd:string)
  • inproceedings (xsd:string)
  • transfer24 (xsd:string)
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