The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC)

This paper discusses a framework for the evaluation of accuracy of the Italian section of EU-SILC data with focus on non-sampling errors related to several components of the total non-response at household level. Following a classical hierarchical approach, classes of quality indicators are obtained...

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Main Authors: Rosalia Castellano, Gennaro Punzo
Format: Article
Language:English
Published: University of Bologna 2013-05-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/3644
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spelling doaj-90f45098a4fb443497757f5aaabe6d4a2020-11-25T01:06:40ZengUniversity of BolognaStatistica0390-590X1973-22012013-05-0172221123310.6092/issn.1973-2201/36443390The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC)Rosalia Castellano0Gennaro Punzo1Department of Statistics and Mathematics for Economic Research - University of Naples “Parthenope”Department of Statistics and Mathematics for Economic Research - University of Naples “Parthenope”This paper discusses a framework for the evaluation of accuracy of the Italian section of EU-SILC data with focus on non-sampling errors related to several components of the total non-response at household level. Following a classical hierarchical approach, classes of quality indicators are obtained by aggregating some ad hoc basic quality rates. Subsequently, in order to investigate the territorial perspective and its effects on the total nonresponse, one-way random effects ANOVA model and a multinomial logistic regression model are estimated. In this light, the work aims at exploring the main demographic and socio-economic factors potentially correlated with the survey participation at a subnational level. The final goal is sketching a territorial quality profile to identify those crucial areas with a more difficulty to be interviewed in order to define some ad hoc corrective interventions.http://rivista-statistica.unibo.it/article/view/3644
collection DOAJ
language English
format Article
sources DOAJ
author Rosalia Castellano
Gennaro Punzo
spellingShingle Rosalia Castellano
Gennaro Punzo
The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC)
Statistica
author_facet Rosalia Castellano
Gennaro Punzo
author_sort Rosalia Castellano
title The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC)
title_short The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC)
title_full The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC)
title_fullStr The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC)
title_full_unstemmed The impact of territorial factors on the total non-response error in the European Union – Survey on Income and Living Condition (EU-SILC)
title_sort impact of territorial factors on the total non-response error in the european union – survey on income and living condition (eu-silc)
publisher University of Bologna
series Statistica
issn 0390-590X
1973-2201
publishDate 2013-05-01
description This paper discusses a framework for the evaluation of accuracy of the Italian section of EU-SILC data with focus on non-sampling errors related to several components of the total non-response at household level. Following a classical hierarchical approach, classes of quality indicators are obtained by aggregating some ad hoc basic quality rates. Subsequently, in order to investigate the territorial perspective and its effects on the total nonresponse, one-way random effects ANOVA model and a multinomial logistic regression model are estimated. In this light, the work aims at exploring the main demographic and socio-economic factors potentially correlated with the survey participation at a subnational level. The final goal is sketching a territorial quality profile to identify those crucial areas with a more difficulty to be interviewed in order to define some ad hoc corrective interventions.
url http://rivista-statistica.unibo.it/article/view/3644
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