Basic econometrics

By:

Gujarati, Damodar N; Porter, Gunasekar Sangeetha

Material type: Text

TextPublication details: Tata McGraw Hill New Delhi 2012Edition: 5 EdDescription: xxiii,867p. 25 cm ; PbkISBN:

9780071333450

Subject(s):

Econometrics

DDC classification:

658.4033 GUJ

Contents:

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

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Books	H.T. Parekh Library	GSB Collection	658.4033 GUJ (Browse shelf(Opens below))	In transit from H.T. Parekh Library to H.T. Parekh Library since 09/09/2024		40429

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Gratis
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

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

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