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Introduction
• PART ONE: BASICS AND THE CLRM
• Economic Data
• Working With Data: Basic Data Handling
• Simple Regression
• Multiple Regression
• Dummy Variables
• PART TWO: VIOLATING THE ASSUMPTIONS OF THE CLRM
• Mis-specifications: Wrong Regressors, Measurement Errors and Wrong Functionsal Forms Heteroskedasticity Autocorrelation Multicollinearity Autoregression
• PART THREE: TIME SERIES ECONOMETRICS ARIMA
• Models and The Box-Jenkins Methodology
• Vector Autoregressive (VAR) Models and Causality Tests
• Non Stationarity and Unit Root Tests
• Cointegration and Error Correction Models
• Modelling the Variance: ARCH-GARCH Models
• References
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