Stochastic Frontier Model
The stochastic frontier model is a parametric method for estimating productive efficiency that separates a producer's shortfall from best practice into two parts: genuine inefficiency and random noise. Introduced independently in 1977 by Aigner, Lovell, and Schmidt and by Meeusen and van den Broeck, it specifies a production (or cost) function with a composed error term — a symmetric disturbance for luck and measurement error plus a one-sided, non-negative term for inefficiency — and estimates it by maximum likelihood, yielding firm-specific efficiency scores that, unlike deterministic methods, are robust to statistical noise.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Ramani ya mbinu
Jirani ya mbinu zinazohusiana — chagua nodi ili kuchunguza.
Vyanzo
- 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: 10.1016/0304-4076(77)90052-5 ↗
- Meeusen, W., & van den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International Economic Review, 18(2), 435–444. DOI: 10.2307/2525757 ↗
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 22). Stochastic Frontier Production Function Model. ScholarGate. https://scholargate.app/sw/economics/stochastic-frontier-analysis
Mbinu ipi?
Weka mbinu hii kando ya jamaa zake wa karibu na uzisome bega kwa bega — maktaba huweka vitabu mezani; uamuzi ni wako.
- Data Envelopment Analysis (Productivity)Uchumi↔ linganisha
- DEAUfanyaji Maamuzi↔ linganisha
- Uchanganuzi wa Nguvu za Kisambazaji (SFA)Ekonometriki↔ linganisha
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