http://www.cnr.it/ontology/cnr/individuo/prodotto/ID304348
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
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- 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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