Stochastic Population Projections: an Application to the Rome Metropolitan Area (Contributo in atti di convegno)

Type
Label
  • Stochastic Population Projections: an Application to the Rome Metropolitan Area (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Alternative label
  • Salvatore Bertino, Oliviero Casacchia, Massimiliano Crisci (2014)
    Stochastic Population Projections: an Application to the Rome Metropolitan Area
    in Sixth Eurostat/UNECE Work Session on Demographic Projections, Rome, 29-31 October 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Salvatore Bertino, Oliviero Casacchia, Massimiliano Crisci (literal)
Pagina inizio
  • 216 (literal)
Pagina fine
  • 229 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.istat.it/it/archivio/137411 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Proceedings of the Sixth Eurostat/UNECE Work Session on Demographic Projections (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • University of Rome \"La Sapienza\", University of Rome \"La Sapienza\", CNR-IRPPS (literal)
Titolo
  • Stochastic Population Projections: an Application to the Rome Metropolitan Area (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Marsili M., Capacci R. (eds.) (literal)
Abstract
  • The stochastic method has recently received much attention from researchers and seems to be a useful and efficient tool for implementing multiregional forecasting at a local level. In the paper the results are presented of a project financed by the Province of Rome to make a multiple stochastic population forecast of the Rome Metropolitan Area using the so-called Bertino-Sonnino method, based on micro-simulations of birthdeath- emigration-immigration point event processes. This forecast is based on a range of assumptions referring to the future demographic dynamics over the period 2009-24 and forming three variants. The outcome of the stochastic method is compared with deterministic multiregional forecasting to verify the efficiency of both methodologies. This two-step strategy allows control to be maintained over the assumed future demographic variants, at the same time linking in a probability level. (literal)
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