In this paper we propose a composite indicator by aggregating objective indicators weighted by subjective indicators. Employing multilevel models, we use individual data as1-level units nested into 2-level units in order to estimate contextual effects on the subjective measure of immigrants integration as dependent variable. Then, we compare theeffects of three models, each one with a different 2-level covariate, evaluating the ICC decrease: the higher is the decrease, the higher is the contextual effect related to the 2-levelcovariate in the model. Doing so, we obtain different weights employed to construct a composite indicator of integration. In this aim, we use ISMU survey data, collected in 32 Italian provinces as subjective indicators to weight objective indicators of CNEL Report.

Misurare l’integrazione: una proposta di indicatore composito

D'Agata R.;TOMASELLI, Venera
2012-01-01

Abstract

In this paper we propose a composite indicator by aggregating objective indicators weighted by subjective indicators. Employing multilevel models, we use individual data as1-level units nested into 2-level units in order to estimate contextual effects on the subjective measure of immigrants integration as dependent variable. Then, we compare theeffects of three models, each one with a different 2-level covariate, evaluating the ICC decrease: the higher is the decrease, the higher is the contextual effect related to the 2-levelcovariate in the model. Doing so, we obtain different weights employed to construct a composite indicator of integration. In this aim, we use ISMU survey data, collected in 32 Italian provinces as subjective indicators to weight objective indicators of CNEL Report.
Indicatore composito, Modelli multilevel, Integrazione, Composite indicator, Multilevel model, Integration
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/31873
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