Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/163535
Authors: 
Kaminska, Olena
Lynn, Peter
Year of Publication: 
2016
Series/Report no.: 
ISER Working Paper Series 2016-09
Abstract: 
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.
Subjects: 
cross-national surveys
design effect
mis-specification effect
multi-stage sampling
standard errors
stratified sampling
JEL: 
C83
D10
Q50
Document Type: 
Working Paper

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