In this paper we propose a composite indicator by aggregating objective indicators weighted by subjective indicators. Employing multilevel models, we use individual data as 1-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 the effects 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-level covariate 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 composto

D'AGATA, ROSARIO GIUSEPPE;
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 as 1-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 the effects 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-level covariate 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
2012
Indicatore composito; Modelli Multilevel; Integrazione; Composite Indicator; Multilevel Models; Integration
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/10493
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