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	Združeni obični najmanji kvadrati za panelne podatke	Regresija običnih najmanjih kvadrata (OLS)
Oblast	Ekonometrija	Ekonometrija
Porodica	Regression model	Regression model
Godina nastanka	2010	2019
Tvorac	Jeffrey Wooldridge (treatment)	Wooldridge (textbook treatment); classical least squares
Tip	Linear regression on stacked panel observations	Linear regression
Temeljni izvor	Wooldridge, J. M. (2010). Econometric Analysis of Cross Section and Panel Data (2nd ed.). MIT Press. ISBN: 978-0-262-23258-8	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
Drugi nazivi	Pooled OLS, Pooled Ordinary Least Squares, Simple Panel OLS, Havuzlanmış EKK	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
Srodne	2	5
Sažetak	Pooled OLS applies standard ordinary least squares to panel data by stacking all cross-sectional and time observations into a single dataset and ignoring the panel structure during estimation. It is the most transparent starting point for panel data analysis, widely used in economics, finance, and social sciences when researchers wish to estimate average partial effects across individuals and time periods without imposing strong distributional assumptions about unobserved heterogeneity.	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).