Comparer des méthodes

	Microsimulation déterministe	Modèle de Markov
Domaine	Simulation	Simulation
Famille	Process / pipeline	Process / pipeline
Année d'origine	1957	1906
Auteur d'origine	Guy H. Orcutt	Andrei Markov
Type	Individual-level deterministic rule application	Probabilistic state-transition model
Source fondatrice	Orcutt, G. H. (1957). A new type of socio-economic system. Review of Economics and Statistics, 39(2), 116–123.	Norris, J. R. (1997). Markov Chains. Cambridge University Press, Cambridge. ISBN: 9780521633963
Alias	Arithmetic Microsimulation, Static Tax-Benefit Microsimulation, Deterministic Policy Simulation, Rule-based Microsimulation	Markov Chain, Discrete-Time Markov Chain, DTMC, Markov Process
Apparentées	5	5
Résumé	Deterministic 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.	A Markov Model represents a system as a finite set of states and specifies the probability of moving from one state to another at each time step. By capturing only the current state — not the full history — it enables tractable analysis of complex dynamic processes across health economics, engineering reliability, operations research, and social-science modeling.