Basic econometrics

By: Gujarati, Damodar NContributor(s): Porter, Dawn C | Pal, ManoranjanMaterial type: TextTextPublisher: New Delhi McGraw Hill 2009Edition: 6th edDescription: 910pISBN: 9789390219292Subject(s): EconometricsDDC classification: 330.015195
List(s) this item appears in: New Arrivals_14092021
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330.015195 GUJ (Browse shelf) Available 3387
Books Books Jallo Chak Campus Library
330.015195 GUJ (Browse shelf) Available 3388



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

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 Nonconstant?
12 Autocorrelation: What Happens If the Error Terms Are Correlated?
13 Econometric Modeling: Model Specification and Diagnostic Testing

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

Simultaneous-Equation Models

18 Simultaneous-Equation Models
19 The Identification Problem
20 Simultaneous-Equation Methods
21 Time Series Econometrics: Some Basic Concepts
22 Time Series Econometrics: Forecasting


A A Review of Some Statistical Concepts
B Rudiments of Matrix Algebra
C The Matrix Approach to Linear Regression Model
D Statistical Tables
E Computer Output of EViews, MINITAB, Excel, and STATA
F Economic Data on the World Wide Web


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