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Microsimulation methods for population projection

Bibliographic Data

ID2850307
AuthorsWendy Post (0000-0003-2705-3279), Evert Van Imhoff
Year1998
Volume53
IssueHS1
Pages97-136
Publication date1998-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePopulation (JOURNAL)
Journal identifiersISSN: 0032-4663 • E-ISSN: 1957-7966
PublisherCAIRN (PUBLISHER)
DOI10.3917/popu.p1998.10n1.0136
PMID12157954
OpenAlexW1755969093
LanguageEN
Citations received39
References cited11

Van Imhoff (Evert), Post (Wendy). - Méthodes de micro-simulation pour des projections de population La micro-simulation se distingue de la macro-simulation traditionnelle, en utilisant un échantillon plutôt que la population totale, en travaillant au niveau de données individuelles plutôt que de données agrégées, et en se basant sur des expériences aléatoires répétées plutôt que sur des nombres moyens. Nous présentons ici les circonstances sous lesquelles la micro-simulation peut être plus intéressante que des méthodes plus conventionnelles. Elle est particulièrement appropriée si les résultats du processus étudié sont complexes, tandis que les forces qui lui sont sous-jacentes sont simples. Un problème difficile en micro-simulation vient de ce que les projections sont sujettes à des variations aléatoires. Diverses sources d'aléas sont présentées, mais la plus importante est ce que nous appelons l'aléa de spécification : plus on introduit de variables explicatives dans le modèle, plus le degré d'aléa, auquel les sorties du modèle sont sujettes sera important. Après une revue rapide des modèles de micro-simulation qui existent en démographie, plusieurs des caractéristiques essentielles de la micro-simulation sont illustrées avec le modèle KINSIM, pour projeter la taille et la structure des réseaux de parenté futurs

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Unique citing works39
Citations per year1,5
Citation span2000 - 2025 (26)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 38

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