A multiple indicator model for panel data: an application to ICT area-level variation

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• dc.contributor.author Ventura, Evaca
• dc.contributor.author Satorra, Albertca
• dc.contributor.other Universitat Pompeu Fabra. Departament d'Economia i Empresa
• dc.date.accessioned 2017-07-26T10:50:10Z
• dc.date.available 2017-07-26T10:50:10Z
• dc.date.issued 2014-05-01
• dc.date.modified 2017-07-23T02:16:09Z
• dc.description.abstract Consider the case in which we have data from repeated surveys covering several geographic areas, and our goal is to characterize these areas on a latent trait that underlies multiple indicators. This characterization occurs, for example, in surveys of information and communication technologies (ICT) conducted by statistical agencies, the objective of which is to assess the level of ICT in each area and its variation over time. It is often of interest to evaluate the impact of area-specific covariates on the ICT level of the area. This paper develops a methodology based on structural equations models (SEMs) that allows not only the ability to estimate the level of the latent trait in each of the areas (building an ICT index) but also to assess the variation of this index in time, as well as its association with the area-specific covariates. The methodology is illustrated using the ICT annual survey data collected in the Spanish region of Catalonia for the years 2008 to 2011.
• dc.format.mimetype application/pdfca
• dc.identifier https://econ-papers.upf.edu/ca/paper.php?id=1419
• dc.identifier.uri http://hdl.handle.net/10230/22539
• dc.language.iso eng
• dc.relation.ispartofseries Economics and Business Working Papers Series; 1419
• dc.rights L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
• dc.subject.keyword structural equations model; confirmatory factor analysis; longitudinal analysis; index; digital divide; information and communication technologies (ict)
• dc.subject.keyword Macroeconomics and International Economics
• dc.subject.keyword Operations Management
• dc.subject.keyword Statistics, Econometrics and Quantitative Methods
• dc.title A multiple indicator model for panel data: an application to ICT area-level variationca
• dc.type info:eu-repo/semantics/workingPaper