TY  - BOOK
AU  - Gujarati, Damodar N 
TI  - Basic Econometrics
SN  - 9780070660052
U1  - 330.015195 GUJ-B 
PY  - 2008///
PB  - Tata Mcgraw
KW  - Basic Ecnomatrics
N1  - Part 1 Single-Equation Regression Models 1. The Nature of Regression Analysis 2. Two-Variable Regression Analysis: Some Basic Ideas 3. Two-Variable Regression Model: The Problem of Estimation 4. Classical Normal Linear Regression Model (CNLRM) 5. Two-Variable Regression: Interval Estimation and Hypothesis Testing 6. Extensions of the Two-Variable Linear Regression Model 7. Multiple Regression Analysis: The Problem of Estimation 8. Multiple Regression Analysis: The Problem of Inference 9. Dummy Variable Regression Models Part 2 Relaxing the Assumptions of the Classical Model 10. 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 Econometrics 14. Nonlinear Regression Models 15. Qualitative Response Regression Models 16. Panel Data Regression Models 17. Dynamic Econometric Models: Autoregressive and Distributed-Lag Models Part 4 Simultaneous-Equation Models and Time Series Econometrics 18. Simultaneous-Equation Models 19. The Identification Problem 20. Simultaneous-Equation Methods 21. Time Series Econometrics: Some Basic Concepts 22. Time Series Econometrics: Forecasting Appendix D Statistical Tables Selected Bibliography Index
UR  - https://books.google.co.in/books?id=WcCjAgAAQBAJ&printsec=frontcover&dq=Basic+Econometrics&hl=en&sa=X&ved=0ahUKEwjuqOCnhZvlAhWJMY8KHcnrAGkQ6AEILjAB#v=onepage&q=Basic%20Econometrics&f=false
ER  -