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Stochastische Grenzweranalyse (SFA)×Paneldaten-Fixed-Effects-Modell×
FachgebietÖkonometrieÖkonometrie
FamilieRegression modelRegression model
Entstehungsjahr19772014
UrheberAigner, Lovell & Schmidt (1977); Battese & Coelli (1995) for panelsHsiao (textbook treatment); within transformation of panel data
TypFrontier regression modelPanel data regression
Wegweisende QuelleAigner, 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 ↗Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press. DOI ↗
AliasnamenSFA, stochastic frontier model, stochastic production frontier, Stokastik Sınır Analizi (SFA)fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Verwandt35
ZusammenfassungStochastic 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.The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).
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ScholarGateMethoden vergleichen: Stochastic Frontier Analysis · Panel Fixed Effects. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare