مقایسهٔ روش‌ها

	آزمون علیت گرنجر	رگرسیون حداقل مربعات معمولی (OLS)
حوزه	اقتصادسنجی	اقتصادسنجی
خانواده	Regression model	Regression model
سال پیدایش	1969	2019
پدیدآور	Clive W. J. Granger	Wooldridge (textbook treatment); classical least squares
نوع	Time-series predictive causality test	Linear regression
منبع بنیادین	Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438.	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
نام‌های دیگر	Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
مرتبط	5	5
خلاصه	The Granger causality test, introduced by Clive W. J. Granger in 1969, assesses whether the past values of one time series help predict another beyond what the latter's own past already explains. It defines causality in a strictly predictive sense rather than as a structural or physical cause.	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).