Basic Econometrics

The book provides comprehensive introduction to econometrics, but remains accessible to a wide variety of students because it covers the material without excessive mathematical rigor or statistics. Appropriate for those students who have only a basic understanding of algebra and statistics.

Key Features

• Indian macroeconomics data integrated
• Multiple choice questions at the end of each chapter
• Student's CD containing in-text data.

About The Author
Damodar Gujarati After teaching for more than 28 years at the City University of New York, He is currently a professor of Economics in the Department of Social Sciences at the U.S. Military Academy at West Point, New York. Dr. Gujarati received his M.Com. degree from the University of Bombay in 1960, his M.B.A. degree from the University of Chicago in 1963, and his Ph.D. degree from the University of Chicago in 1965. Dr. Gujarati has published extensively in recognized national and international journals, such as the Review of Economics and Statistics, the Economic Journal, the Journal of Financial and Quantitative Analysis, the Journal of Business, the American Statistician, and the Journal of Industrial and Labor Relations.

S Sangeetha Currently working at Manager (Administration) with YOUNG DESIGNS (Apparel Manufacturer and Exports), Coimbatore. She is also doing her Ph.D. from Indira Gandhi Institute of Development Research, Mumbai.

Table Of Contents

• PART I SINGLE-EQUATION REGRESSION MODELS
• 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 ASSUMPTIONS OF THE CLASSICAL MODEL
• Chapter 10. Multicollinearity: What happens if the Regressions 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 I: 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
• PART V: TIME SERIES ECONOMETRICS
• Chapter 21.Time Series Econometrics: Some Basic Concepts
• Chapter 22. Time Series Econometrics: Forecasting
• APPENDIXES
• A. A Review of Some Statistical Concepts
• B. Rudiments of Matrix Algebra
• C. The Matrix Approach to the Linear Regression Model
• D. Statistical Tables
• E. Economic Data on the World Wide Web
• F. Data Related to India
• Selected Bibliography
• Indexes
• Name Index
• Subject Index