Survey-based cross-country comparisons where countries vary in sample design: issues and solutions

Peter Lynn and Olena Kaminska ()

No 2016-09, ISER Working Paper Series from Institute for Social and Economic Research

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.

Date: 2016-09-21
References: View complete reference list from CitEc
Citations:

Published

Downloads: (external link)
https://www.iser.essex.ac.uk/wp-content/uploads/fi ... ers/iser/2016-09.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ese:iserwp:2016-09

Ordering information: This working paper can be ordered from
Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
https://www.iser.essex.ac.uk/publications/

Access Statistics for this paper

More papers in ISER Working Paper Series from Institute for Social and Economic Research Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK. Contact information at EDIRC.
Bibliographic data for series maintained by Jonathan Nears ().