Multilingual Demographic Dictionary, second unified edition, English volume

Static model (STATIC model)

Translation
Section	English 730	Arabic 730	Czech 730	German 730	Spanish 730	French 730	Italian 730	Japanese 730	Portuguese 730	Russian 730	Chinese 730
730-1	demographic model	نموذج ديمغرافي	model	Bevölkerungsmodell	modelo —modelo demográfico	modèle	modello	人口モデル		Демографическая модель	人口模型
730-2	static model	نموذج سكوني	statický model	statisches Modell	modelos estáticos	modèle statique	modelli statici	静学モデル	modelo estático	Статистическая модель	静态模型
730-3	dynamic model	نموذج تحريكي	model, dynamický	dynamisches Modell	modelos dinámicos	modèle dynamique	modelli dinamici	動学モデル	modelo dinâmico	Динамическая модель	动态模型
730-4	deterministic model	نموذج حتمي	deterministický model	deterministisches Modell	modelos deterministas	modèle déterministe	modelli deterministici	決定論モデル	modelos determinísticos	Детерминистические модели	确定性模型
730-5	stochastic model —probabilistic model	نموذج العشوائي—نموذج الإحتمالي	stochastický model	stochastisches Modell —Wahrscheinlichkeitsmodell	modelos estocásticos	modèle stochastique	modelli stocastici	確率モデル	modelos estocásticos —modelos probabilísticos	Стохастические модели —Вероятностные модели	随机模型 —概率模型
730-6	simulation	محاكاة	simulace	Simulation	simulación	simulation	simulazione	シミュレーション	simulaçao	Имитации	模拟
730-7	macrosimulation	محاكاة الكبرية	makrosimulace	Makrosimulation	macrosimulaciones			マクロシミュレーション	macrosimulaçao	Макроимитации	宏观模拟
730-8	microsimulation	محاكاة الصغرية	mikrosimulace	Mikrosimulation	microsimulaciones			マイクロシミュレーション	microsimulaçao	Микроимитации	微观模拟

A demographic model ¹ consists of a theoretical construct representing the evolution of a population (of individuals, couples, families, households, etc.) and its structure on the basis of its initial state and the effect of various demographic variables (such as fertility, fecundability, mortality, etc.). In a static model ², these variables remain constant; in a dynamic model ³, they are allowed to change over time. A further distinction is made between deterministic models ⁴ which assign functional relations between definite values of the variables, as if the studied population were infinitely large, and stochastic models ⁵ or probabilistic models ⁵ which consider the probability of various events occurring to individuals over the duration of the process under study. The model may be set out in mathematical formulas or take the form of a simulation ⁶ where specific values of the variables are included in a system of relations. Macrosimulations ⁷ may for example involve population projections made by the component method (720-5). In microsimulations ⁸, events are made to occur randomly to individuals or groups over time according to sets of probabilities assigned to the variables in the model.