Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Microsimulación Multiobjetivo× | Microsimulación Estocástica× | |
|---|---|---|
| Campo | Simulación | Simulación |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1957 (microsimulation); 2000s (multi-objective extension) | 1957 |
| Autor original≠ | Orcutt, G. H. (microsimulation); multi-objective extension developed by policy modeling community | Guy H. Orcutt |
| Tipo≠ | Simulation-based policy evaluation | Stochastic individual-level simulation |
| Fuente seminal≠ | 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 ↗ |
| Alias | MO-Microsim, Multi-criteria microsimulation, Multi-objective policy microsimulation, MOMS | Probabilistic Microsimulation, Monte Carlo Microsimulation, Stochastic Micro-simulation, SMSM |
| Relacionados≠ | 5 | 6 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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