So sánh phương pháp

	Hồi quy tuyến tính đơn giản theo bảng	Hồi quy Bình phương Tối thiểu Thông thường (OLS)
Lĩnh vực	Thống kê	Kinh tế lượng
Họ	Regression model	Regression model
Năm ra đời	1986	2019
Người khởi xướng	Hsiao (1986); Baltagi (seminal textbook treatments)	Wooldridge (textbook treatment); classical least squares
Loại	Linear regression (panel data)	Linear regression
Công trình gốc	Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0262232586	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Tên gọi khác	panel SLR, longitudinal simple regression, two-way panel simple regression, fixed-effects simple linear regression	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Liên quan	5	5
Tóm tắt	Panel 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.	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).