000			01904nam a2200193Ia 4500
020			_a9780071333450
082			_a658.4033 GUJ
100			_aGujarati, Damodar N; Porter, Gunasekar Sangeetha
245			_aBasic econometrics
250			_a5 Ed.
260			_bTata McGraw Hill _aNew Delhi _c2012
300			_axxiii,867p. _b25 cm ; Pbk
500			_aGratis
505			_aPart 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
520			_aBasic 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.
650			_aEconometrics
700			_aGujarati, Damodar N; Porter, Dawn C.;Sangeetha Gunasekar
942			_cBK
999			_c98798 _d98798