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Basic Econometrics

© 2009
by Damodar Gujarati Dawn Porter

5th Edition 944 Pages Hardback
9780073375779 0073375772

http://www.mhhe.com/gujarati5e
http://www.mhhe.com/gujarati5e
Gujarati and Porters Basic Econometrics provides an elementary but comprehensive introduction to econometrics without resorting to matrix algebra, calculus, or statistics beyond the elementary level. With the addition of over 100 new data sets, as well as significantly updated research and examples, the Fifth Edition responds to important developments in the theory and practice of econometrics. Basic Econometrics is widely used by students of all fields as the expanded topics and concrete applications throughout the text apply to a broad range of studies.

Part I: Single-Equation Regression Model

Chapter 1: The Nature of Regression Analysis

Chapter 2: Two-Variable Regression Analysis: Some Basic Ideas

Chapter 3: Two Variable Regression Model: The Problem of Estimation

Chapter 4: Classical Normal Linear Regression Model (CNLRM)

Chapter 5: Two-Variable Regression: Interval Estimation and Hypothesis Testing

Chapter 6: Extensions of the Two-Variable Linear Regression Model

Chapter 7: Multiple Regression Analysis: The Problem of Estimation

Chapter 8: Multiple Regression Analysis: The Problem of Inference

Chapter 9: Dummy Variable Regression Models

Part II: Relaxing the Assumptions of the Classical Model

Chapter 10: Multicollinearity: What happens if the Regressor are Correlated

Chapter 11: Heteroscedasticity: What Happens if the Error Variance is Nonconstant?

Chapter 12: Autocorrelation: What Happens if the Error Terms are Correlated

Chapter 13: Econometric Modeling: Model Specification and Diagnostic Testing

Part III: Topics in Econometrics

Chapter 14: Nonlinear Regression Models

Chapter 15: Qualitative Response Regression Models

Chapter 16: Panel Data Regression Models

Chapter 17: Dynamic Econometric Model: Autoregressive and Distributed-Lag Models.

Part IV: Simultaneous-Equation Models

Chapter 18: Simultaneous-Equation Models.

Chapter 19: The Identification Problem.

Chapter 20: Simultaneous-Equation Methods.

Chapter 21: Time Series Econometrics: Some Basic Concepts

Chapter 22: Time Series Econometrics: Forecasting

Appendix A: Review of Some Statistical Concepts Appendix B: Rudiments of Matrix Algebra Appendix C: The Matrix Approach to Linear Regression Model Appendix D: Statistical Tables Appendix E: Computer Output of EViews, MINITAB, Excel, and STATA Appendix F: Economic Data on the World Wide Web
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