方法对比
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| 数据包络分析（CCR模型）用于基于效率的排序× | 随机前沿分析 (SFA)× | |
|---|---|---|
| 领域≠ | 决策 | 计量经济学 |
| 方法族≠ | MCDM | Regression model |
| 起源年份≠ | 1978 | 1977 |
| 提出者≠ | Charnes, A., Cooper, W. W., Rhodes, E. | Aigner, Lovell & Schmidt (1977); Battese & Coelli (1995) for panels |
| 类型≠ | Non-parametric efficiency frontier (CCR model) | Frontier regression model |
| 开创性文献≠ | Charnes, A., Cooper, W. W., Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research DOI ↗ | Aigner, D., Lovell, C.A.K. & Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models. Journal of Econometrics, 6(1), 21–37. DOI ↗ |
| 别名≠ | — | SFA, stochastic frontier model, stochastic production frontier, Stokastik Sınır Analizi (SFA) |
| 相关≠ | 0 | 3 |
| 摘要≠ | DEA (Data Envelopment Analysis (CCR model) for efficiency-based ranking) is a dea multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W., Rhodes, E. in 1978. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | Stochastic Frontier Analysis is a frontier regression model, introduced by Aigner, Lovell and Schmidt in 1977, that estimates a production, cost, or profit function while separating each unit's technical inefficiency from ordinary statistical noise. It splits the error term into a symmetric random component and a one-sided inefficiency component, producing firm- or country-level efficiency scores. |
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