Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Microssimulação Determinística× | Simulação de Monte Carlo× | |
|---|---|---|
| Área≠ | Simulação | Tomada de decisão |
| Família≠ | Process / pipeline | MCDM |
| Ano de origem≠ | 1957 | 1949 |
| Autor original≠ | Guy H. Orcutt | Metropolis, N., Ulam, S. |
| Tipo≠ | Individual-level deterministic rule application | Robustness wrapper — Monte Carlo uncertainty propagation |
| Fonte seminal≠ | Orcutt, G. H. (1957). A new type of socio-economic system. Review of Economics and Statistics, 39(2), 116–123. DOI ↗ | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| Outros nomes≠ | Arithmetic Microsimulation, Static Tax-Benefit Microsimulation, Deterministic Policy Simulation, Rule-based Microsimulation | — |
| Relacionados≠ | 5 | 0 |
| Resumo≠ | 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. | MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateConjunto de dados ↗ |
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