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Complete downloadable Solutions Manual for Basic Econometrics 5th Edition by Gujarati. INSTRUCTOR RESOURCE INFORMATION
TITLE: Basic Econometrics
RESOURCE:Solutions Manual
EDITION: 5th Edition
AUTHOR: Gujarati, Porter
PUBLISHER: McGraw Hill Higher Education

Table of content

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
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
14 Nonlinear Regression Models
15 Qualitative Response Regression Models
16 Panel Data Regression Models
17 Dynamic Econometric Models: Autoregressive and Distributed-Lag 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 APPENDIXES
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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