Basic econometrics
- 5 Ed.
- New Delhi Tata McGraw Hill 2012
- xxiii,867p. 25 cm ; Pbk
Gratis
Part 1 Single-Equation Regression Models 1 The Nature of Regression Analysis 2 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 Multicollineariety: what happens if the regressors are Correlated 11 Hetroscedasticity : what happens if the Error variance is Nonconstant 12 Autocorrelation 13 Econometric Modeling Part.3 Topics in Econometrics 14 Nonlinear Regression Models 15 Qualitative Response Regression Models 16 Panel Data Regression Models 17 Dynamic Econometric 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
Basic Econometrics 5th Edition is authored by Dawn C. Porter, Sangeetha Gunasekar, and Damodar N. Gujarati. The book gives students an introduction to Econometrics. It is essential for students specializing in Economics.