Journal
EUROPEAN SOCIOLOGICAL REVIEW
Volume 32, Issue 1, Pages 3-22Publisher
OXFORD UNIV PRESS
DOI: 10.1093/esr/jcv059
Keywords
-
Categories
Funding
- UK Economic and Social Research Council [RES-062-23-1455]
- ESRC [RES-518-28-001]
- University of Essex
- Economic and Social Research Council [ES/L009153/1, ES/H00811X/1, ES/G007241/1] Funding Source: researchfish
- ESRC [ES/H00811X/1, ES/L009153/1, ES/G007241/1] Funding Source: UKRI
Ask authors/readers for more resources
Country effects on outcomes for individuals are often analysed using multilevel (hierarchical) models applied to harmonized multi-country data sets such as ESS, EU-SILC, EVS, ISSP, and SHARE. We point out problems with the assessment of country effects that appear not to be widely appreciated, and develop our arguments using Monte Carlo simulation analysis of multilevel linear and logit models. With large sample sizes of individuals within each country but only a small number of countries, analysts can reliably estimate individual-level effects but estimates of parameters summarizing country effects are likely to be unreliable. Multilevel modelling methods are no panacea.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available