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Tidsskrift
Bog, 5. ed., 2006
An overview of regression analysis. Ordinary least squares. Learning to use regression analysis. The classical model. Hypothesis testing. Specification : choosing the independent variables. Specification : choosing a functional form. Multicollinearity. Serial correlation. Heteroskedasticity. Running your own regression project. Time-series models. Dummy dependent variable techniques. Simultaneous equations. Forecasting. Experimental and panel data. Statistical principles ; Chapter 1: An Overview of Regression Analysis Chapter 2: Ordinary Least Squares Chapter 3: Learning to Use Regression Analysis Chapter 4: The Classical Model Chapter 5: Hypothesis Testing Chapter 6: Specification: Choosing the Independent Variables Chapter 7: Specification: Choosing a Functional Form Chapter 8: Multicollinearity Chapter 9: Serial Correlation Chapter 10: Heteroskedasticity Chapter 11: Running Your Own Regression Project Chapter 12: Time-Series Models Chapter 13: Dummy Dependent Variable Techniques Chapter 14: Simultaneous Equations Chapter 15: Forecasting Chapter 16: Experimental and Panel Data Chapter 17: Statistical Principles
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