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Bayesiansk mikrosimulering×Mikrosimulering×
ÄmnesområdeSimuleringSimulering
FamiljProcess / pipelineProcess / pipeline
Ursprungsår1990s–2000s1957
UpphovspersonWilliamson, P.; Birkin, M.; Rees, P. H. and related health-economics researchersGuy Orcutt (concept, 1957); modern tax-transfer frameworks developed through EUROMOD and related projects
TypIndividual-level probabilistic simulation with Bayesian updatingPolicy simulation / computational social science
UrsprungskällaWilliamson, P., Birkin, M., & Rees, P. H. (2000). The estimation of population microdata by using data from small area statistics and samples of anonymised records. Environment and Planning A, 30(5), 785-816. DOI ↗O'Donoghue, C. (Ed.) (2014). Handbook of Microsimulation Modelling. Emerald. DOI ↗
AliasBayesian micro-simulation, BMS, Bayesian individual-level simulation, Probabilistic microsimulationMikrosimülasyon, micro-simulation, policy microsimulation
Närliggande65
SammanfattningBayesian Microsimulation combines individual-level simulation of heterogeneous populations with Bayesian statistical inference. Each synthetic individual follows a probabilistic life path, while model parameters are governed by prior beliefs updated with observed data. This approach is widely used in health technology assessment, public policy costing, and demographic projection, where uncertainty in both model inputs and structural assumptions must be formally quantified and propagated through to output estimates.Microsimulation is a computational method that simulates policy effects by operating directly on a population of individual micro-units — households, firms, patients — and applying rules to each unit according to its own demographic, economic, and behavioural characteristics. Developed conceptually by Guy Orcutt in 1957, it has become the standard tool for evaluating tax reform, pension systems, and health policy before implementation.
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ScholarGateJämför metoder: Bayesian Microsimulation · Microsimulation. Hämtad 2026-06-15 från https://scholargate.app/sv/compare