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Deterministisk mikrosimulering×Montecarlosimulering×
ÄmnesområdeSimuleringBeslutsfattande
FamiljProcess / pipelineMCDM
Ursprungsår19571949
UpphovspersonGuy H. OrcuttMetropolis, N., Ulam, S.
TypIndividual-level deterministic rule applicationRobustness wrapper — Monte Carlo uncertainty propagation
UrsprungskällaOrcutt, G. H. (1957). A new type of socio-economic system. Review of Economics and Statistics, 39(2), 116–123. DOI ↗Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗
AliasArithmetic Microsimulation, Static Tax-Benefit Microsimulation, Deterministic Policy Simulation, Rule-based Microsimulation
Närliggande50
SammanfattningDeterministic Microsimulation applies a fixed set of policy rules or behavioral equations to each individual or household record in a microdata file, computing exact outcomes without any random sampling. It is the standard engine behind tax-benefit calculators and demographic projection models used by governments worldwide.MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateJämför metoder: Deterministic Microsimulation · MONTE-CARLO-SIMULATION. Hämtad 2026-06-15 från https://scholargate.app/sv/compare