Confronta i metodi

	Regressione Lineare Semplice su Dati Panel	Regression with Ordinary Least Squares (OLS)
Campo	Statistica	Econometria
Famiglia	Regression model	Regression model
Anno di origine	1986	2019
Ideatore	Hsiao (1986); Baltagi (seminal textbook treatments)	Wooldridge (textbook treatment); classical least squares
Tipo	Linear regression (panel data)	Linear regression
Fonte seminale	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
Alias	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
Correlati	5	5
Sintesi	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).