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Auxiliary regression - PowerPoint PPT Presentation

Chapter 4

Chapter 4. Further issues with the classical linear regression model. The CLRM. Derivation of the OLS coefficient estimator in matrix form. The CLRM. Derivation of the OLS coefficient estimator in matrix form. The CLRM. Derivation of the OLS coefficient estimator in matrix form. The CLRM.

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From Unit Root To Cointegration

From Unit Root To Cointegration. Putting Economics into Econometrics. Many (perhaps most) macroeconomic variables are non stationary Many of these are difference stationary, I(1), variables. Economics - many variables have stable long-run relationships. Consumption - Income

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CHAPTER 6

CHAPTER 6. REGRESSION DIAGNOSTIC III: AUTOCORRELATION. AUTOCORRELATION. One of the assumptions of the classical linear regression (CLRM) is that the covariance between u i , the error term for observation i , and u j , the error term for observation j , is zero.

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Auxiliary regression - PowerPoint PPT Presentation

Chapter 4

From Unit Root To Cointegration

CHAPTER 6