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رگرسیون خطی ساده پنل×مدل اثرات تصادفی داده‌های پنل×
حوزهآماراقتصادسنجی
خانوادهRegression modelRegression model
سال پیدایش19862021
پدیدآورHsiao (1986); Baltagi (seminal textbook treatments)Baltagi (textbook treatment); classical random-effects panel estimator
نوعLinear regression (panel data)Panel data regression
منبع بنیادینWooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer. DOI ↗
نام‌های دیگرpanel SLR, longitudinal simple regression, two-way panel simple regression, fixed-effects simple linear regressionrandom effects panel model, RE estimator, GLS random effects, Panel Veri — Rassal Etkiler Modeli
مرتبط55
خلاصهPanel simple linear regression models a continuous outcome as a linear function of a single predictor using data that track the same entities (individuals, firms, countries) across multiple time periods. It separates within-entity variation from between-entity variation, enabling control for unobserved time-invariant characteristics that would confound a plain cross-sectional regression.The Random Effects model is a panel-data regression that treats unobserved individual heterogeneity as a random component drawn from a common distribution, rather than a separate parameter for each unit. It is a standard estimator in panel econometrics, developed in textbook treatments such as Baltagi's Econometric Analysis of Panel Data (2021).
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ScholarGateمقایسهٔ روش‌ها: Panel Simple Linear Regression · Random Effects Model. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare