Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/163535 
Erscheinungsjahr: 
2016
Schriftenreihe/Nr.: 
ISER Working Paper Series No. 2016-09
Verlag: 
University of Essex, Institute for Social and Economic Research (ISER), Colchester
Zusammenfassung: 
In multi-national surveys different countries usually implement different sample designs. When making estimates of differences between countries, analysts often fail to take sample design appropriately into account. This failure is sometimes because variables indicating stratification, clustering or weighting are unavailable, partially available, or in a form unsuitable for cross-national analysis. We demonstrate how complex sample design should be taken into account when estimating differences between countries and we provide practical guidance to analysts and to data producers. Using EU-SILC data for 19 countries, we evaluate the inverse mis-specification effect (imeff) that results from ignoring aspects of design. Our empirical findings illustrate the importance of incorporating appropriate sample design indicators in variance estimation.
Schlagwörter: 
cross-national surveys
design effect
mis-specification effect
multi-stage sampling
standard errors
stratified sampling
JEL: 
C83
D10
Q50
Dokumentart: 
Working Paper

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