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Summary

This book explores econometrics using an intuitive approach that begins with an economic model. It emphasizes motivation, understanding, and implementation and shows readers how economic data are used with economic and statistical models as a basis for estimating key economic parameters, testing economic hypotheses and predicting economic outcomes.

Table of Contents

Preface.
List of Workfiles.
Chapter 1. Introduction to EViews.
Chapter 2. Computing Normal Probabilities.
Chapter 3. The Simple Linear Regression Model: Specification and Estimation.
Chaoter 4. Properties of the Least Squares Estimators.
Chapter 5. Inference in the Simple Regression Model.
Chapter 6. The Simple Linear Regression Model: Reporting th Results and Choosing the Functional Form.
Chapter 7. The Multiple Regression Model.
Chapter 8. Further Inference in th Multiple Regression Model.
Chapter 9. Dummy (Binary) Variables.
Chapter 10. Nonlinear Models.
Chapter 11. Heteroskedasticity.
Chapter 12. Autocorrelation.
Chapter 13. Random Regression and Moment Based Estimation.
Chapter 14. Simultaneous Equations Models.
Chapter 15. Distributed Lag Models.
Chapter 16. Regression with Time Series Data.
Chapter 17. Pooling Time-Series andá Cross-Sectional Data.
Chapter 18. Qualitative and Limited Dependent Variable Models.
Chapter 19. Obtaining Economic Data from the Internet.

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