Arbeitspapier

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

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.

Sprache
Englisch

Erschienen in
Series: ISER Working Paper Series ; No. 2016-09

Klassifikation
Wirtschaft
Survey Methods; Sampling Methods
Household Behavior: General
Environmental Economics: General
Thema
cross-national surveys
design effect
mis-specification effect
multi-stage sampling
standard errors
stratified sampling

Ereignis
Geistige Schöpfung
(wer)
Kaminska, Olena
Lynn, Peter
Ereignis
Veröffentlichung
(wer)
University of Essex, Institute for Social and Economic Research (ISER)
(wo)
Colchester
(wann)
2016

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Kaminska, Olena
  • Lynn, Peter
  • University of Essex, Institute for Social and Economic Research (ISER)

Entstanden

  • 2016

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