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dc.contributor.authorMaitino, Maria Luisade
dc.contributor.authorRavagli, Letiziade
dc.contributor.authorSciclone, Nicolade
dc.date.accessioned2022-04-25T14:14:54Z
dc.date.available2022-04-25T14:14:54Z
dc.date.issued2020de
dc.identifier.issn1747-5864de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/78717
dc.description.abstractIrpetDin is a dynamic microsimulation model, developed by IRPET (Regional Institute for Economic Planning of Tuscany) to study the future socio-demographic structure of the population and to evaluate the effects of social security programmes in Italy and in Tuscany over the medium to long-term. The model, based on the Eurostat Survey on Income and Living Conditions, makes projections from 2009 to 2050 and it is organised in modules: demography, education, labour and income and social security. IrpetDin produces realistic projections even for the Region of Tuscany and models education and labour with details. Probabilities and rates are estimated differently for Italy and Tuscany, trough regional administrative data. Education careers are completely simulated, from the choice of secondary school to drop-out, from university enrolment to graduation. Labour supply is endogenously determined while labour demand is driven from IRPET’s macro model. The matching of labour supply and demand is modelled by sector of activity and education, in order to estimate the quantitative and the qualitative mismatch.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.ddcSoziologie, Anthropologiede
dc.subject.ddcSociology & anthropologyen
dc.subject.otherEuropean Union Statistics on Income and Living Conditions (EU-SILC) 2008de
dc.titleIrpetDin: A Dynamic Microsimulation Model for Italy and the Region of Tuscanyde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalInternational Journal of Microsimulation
dc.source.volume13de
dc.publisher.countryDEUde
dc.source.issue3de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.classozAllgemeine Soziologie, Makrosoziologie, spezielle Theorien und Schulen, Entwicklung und Geschichte der Soziologiede
dc.subject.classozGeneral Sociology, Basic Research, General Concepts and History of Sociology, Sociological Theoriesen
dc.subject.classozsoziale Sicherungde
dc.subject.classozSocial Securityen
dc.subject.thesozItaliende
dc.subject.thesozItalyen
dc.subject.thesozsoziale Faktorende
dc.subject.thesozsocial factorsen
dc.subject.thesozdemographische Faktorende
dc.subject.thesozdemographic factorsen
dc.subject.thesozDemographiede
dc.subject.thesozdemographyen
dc.subject.thesozBildungde
dc.subject.thesozeducationen
dc.subject.thesozArbeitde
dc.subject.thesozlaboren
dc.subject.thesozEinkommende
dc.subject.thesozincomeen
dc.subject.thesozsoziale Sicherungde
dc.subject.thesozsocial securityen
dc.subject.thesozSimulationde
dc.subject.thesozsimulationen
dc.identifier.urnurn:nbn:de:0168-ssoar-78717-0
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionFDBde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo27-53de
internal.identifier.classoz10105
internal.identifier.classoz10201
internal.identifier.classoz11003
internal.identifier.journal2359
internal.identifier.document32
internal.identifier.ddc300
internal.identifier.ddc301
dc.identifier.doihttps://doi.org/10.34196/ijm.00224de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
dc.subject.classhort10100de
dc.subject.classhort11000de
dc.subject.classhort10200de
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