Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Многокритериальная микросимуляция× | Стохастическое микромоделирование× | |
|---|---|---|
| Область | Имитационное моделирование | Имитационное моделирование |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1957 (microsimulation); 2000s (multi-objective extension) | 1957 |
| Автор метода≠ | Orcutt, G. H. (microsimulation); multi-objective extension developed by policy modeling community | Guy H. Orcutt |
| Тип≠ | Simulation-based policy evaluation | Stochastic individual-level simulation |
| Основополагающий источник≠ | Orcutt, G. H. (1957). A new type of socio-economic system. The Review of Economics and Statistics, 39(2), 116-123. DOI ↗ | Orcutt, G. H. (1957). A new type of socio-economic system. The Review of Economics and Statistics, 39(2), 116–123. DOI ↗ |
| Другие названия | MO-Microsim, Multi-criteria microsimulation, Multi-objective policy microsimulation, MOMS | Probabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSM |
| Связанные≠ | 5 | 6 |
| Сводка≠ | Multi-objective microsimulation extends the classic microsimulation framework by simultaneously tracking and optimizing several competing policy objectives — such as efficiency, equity, fiscal cost, and social welfare — across a heterogeneous population of individual units. It produces a Pareto frontier of policy options rather than a single recommended solution, enabling transparent tradeoff analysis for complex policy decisions. | Stochastic Microsimulation tracks a large population of individual units — people, households, or firms — through time by applying random draws from empirically estimated probability distributions at each transition event. Unlike deterministic counterparts, every state change is decided by chance, preserving realistic heterogeneity and allowing rigorous uncertainty quantification across multiple simulation runs. |
| ScholarGateНабор данных ↗ |
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