Methoden vergleichen

	Deterministische Mikrosimulation	Markov-Modell
Fachgebiet	Simulation	Simulation
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1957	1906
Urheber	Guy H. Orcutt	Andrei Markov
Typ	Individual-level deterministic rule application	Probabilistic state-transition model
Wegweisende Quelle	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
Aliasnamen	Arithmetic Microsimulation, Static Tax-Benefit Microsimulation, Deterministic Policy Simulation, Rule-based Microsimulation	Markov Chain, Discrete-Time Markov Chain, DTMC, Markov Process
Verwandt	5	5
Zusammenfassung	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.