Multilevel Modelling of Country Effects: A Cautionary Tale

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 e... Mehr ...

Volltext
Verfasser: Bryan, Mark L.
Jenkins, Stephen P.
Dokumenttyp: Zeitschriftenartikel
Erscheinungsdatum: 2022
Verlag/Hrsg.: DEU
Schlagwörter: Sozialwissenschaften / Soziologie / Social sciences / sociology / anthropology / Eurobarometer / European Community Household Panel (ECHP) / European Quality of Life Survey (EQLS) / European Social Survey (ESS) / European Union Statistics on Income and Living Conditions (EU-SILC) / European Values Study (EVS) / International Social Survey Program (ISSP) / Luxembourg Income Study (LIS) / Survey of Health / Ageing and Retirement in Europe (SHARE) / Erhebungstechniken und Analysetechniken der Sozialwissenschaften / Methods and Techniques of Data Collection and Data Analysis / Statistical Methods / Computer Methods / Mehrebenenanalyse / Simulation / Analyse / Analyseverfahren / statistische Analyse / Modell / Methodenforschung / Methode / Schätzung / European Social Survey / EVS / ISSP / multi-level analysis / analysis / analysis procedure / statistical analysis / model / methodological research / method / estimation / 10100
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-29106261
Datenquelle: BASE; Originalkatalog
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Link(s) : https://www.ssoar.info/ssoar/handle/document/77112

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.