Cochrane-Orcutt

Cochrane-Orcutt Procedure: Addressing Serial Correlation in Regression Models
The Cochrane-Orcutt procedure is a two-step estimation technique designed to handle first-order serial correlation in the errors of a linear regression model. This method uses the ordinary least squares residuals to estimate the first-order autocorrelation coefficient and then rescale the variables to eliminate serial correlation in the errors.

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