Bandingkan metode

	Model Efek Acak Data Panel	Regresi Kuadrat Terkecil Biasa (Ordinary Least Squares - OLS)
Bidang	Ekonometrika	Ekonometrika
Keluarga	Regression model	Regression model
Tahun asal	2021	2019
Pencetus	Baltagi (textbook treatment); classical random-effects panel estimator	Wooldridge (textbook treatment); classical least squares
Tipe	Panel data regression	Linear regression
Sumber perintis	Baltagi, B. H. (2021). Econometric Analysis of Panel Data (6th ed.). Springer.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Alias	random effects panel model, RE estimator, GLS random effects, Panel Veri — Rassal Etkiler Modeli	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Terkait	5	5
Ringkasan	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).	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).