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PrefaceAcknowledgeIntroduction Part 1 Single-Equation Regression Models1. The Nature of Regression Analysis2. Two-Variable Regression Analysis: Some Basic Ideas3. Two-Variable Regression Model: The Problem of Estimation4.
Classical Normal Linear Regression Model (CNLRM)5. Two-Variable Regression: Interval Estimation and Hypothesis Testing6.
Extensions of the Two-Variable Linear Regression Model7. Multiple Regression Analysis: The Problem of Estimation8. Multiple Regression Analysis: The Problem of Inference9. Dummy Variable Regression Models Part 2 Relaxing the Assumptions of the Classical Model10. Multicollinearity: What Happens if the Regressors are Correlated?11.
Heteroscedasticity: What Happens if the Error Variance is Noneonstant?12. Autocorrelation: What Happens if the Error Terms are Correlate?13.
Econometric Modeling: Model Specification and Diagnostic Testing Part 3 Topics in Econometrics14. Nonlinear Regression Models15. Qualitative Response Regression Models16. Panel Data Regression Models17. Dynamic Econometric Models: Autoregressive and Distributed-Lag Models Part 4 Simultaneous-Equation Models and Time Series Econometrics18. Simultaneous-Equation Models19. The Identification Problem20.
Simultaneous-Equation Methods21. Time Series Econometrics: Some Basic Concepts22. Time Series Econometrics: ForecastingAppendix D Statistical TablesSelected BibliographyIndex.
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