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  • The objective of this chapter is to discuss and give examples of the use of two alternative options for weighting a survey with a modular design. The term ‘modular design’ is used to describe surveys that have a common (or core) set of questions that are administered in the same way, plus multiple modules of questions that are each administered to a separate subsample. The options considered for weighting are a composite method that allows consistent estimation of a common variable for the whole sample and the individual modules in one run of calibration, and a two-phase method whereby initially the whole sample is calibrated and an individual module is then calibrated to estimates obtained from the first phase. The chapter demonstrates that a modular design can reduce standard errors for variables collected in only one module by drawing on the strength of the whole sample. No noticeable difference in precision is found between the two weighting methods, and so the choice of method becomes a more practical question in which the number of modules and complexity for the user should be considered. (xsd:string)
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  • 2022 (xsd:gyear)
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  • 2022 (xsd:gyear)
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  • 10.2785/18803 ()
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  • 165 (xsd:string)
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  • Weighting for a modular structure (xsd:string)
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  • Improving the measurement of poverty and social exclusion in Europe: reducing non-sampling errors (xsd:string)
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  • In Improving the measurement of poverty and social exclusion in Europe: reducing non-sampling errors, edited by Lynn, Peter and Lyberg, Lars, 165-172, Publications Office of the European Union, 2022 (xsd:string)
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  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
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