Econometrics by Example 2nd Edition Gujarati Solutions Manual

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Product details:

• ISBN-10 ‏ : ‎ 1137375019
• ISBN-13 ‏ : ‎ 978-1137375018
• Author: Damodar Gujarati

The second edition of this bestselling textbook retains its unique learning-by-doing approach to econometrics. Rather than relying on complex theoretical discussions and complicated mathematics, this book explains econometrics from a practical point of view by walking the student through real-life examples, step by step. Damodar Gujarati’s clear, concise, writing style guides students from model formulation, to estimation and hypothesis-testing, through to post-estimation diagnostics. The basic statistics needed to follow the book are covered in an appendix, making the book a flexible and self-contained learning resource.

The textbook is ideal for undergraduate students in economics, business, marketing, finance, operations research and related disciplines. It is also intended for students in MBA programs across the social sciences, and for researchers in business, government and research organizations who require econometrics.

Table of contents:

PART I: BASICS OF LINEAR REGRESSION

1. The Linear Regression Model

2. Functional Forms of Regression Models

3. Qualitative Explanatory Variables Regression Models

PART II: REGRESSION DIAGNOSTICS

4. Regression Diagnostic I: Multicollinearity

5. Regression Diagnostic II: Heteroscedasticity

6. Regression Diagnostic III: Autocorrelation

7. Regression Diagnostic IV: Model Specification Errors

PART III: REGRESSION MODELS WITH CROSS-SECTIONAL DATA

8. Stochastic Regressors and the Method of Instrumental Variables

9. The Logit and Probit Models

10. Multinomial Regression Models

11. Ordinal Regression Models

12. Limited Dependent Variable Regression Models

PART IV: TIME SERIES ECONOMETRICS

13. Modeling Count Data

14. Stationary and Nonstationary Time Series

15. Conintegration and Error Correction Models

16. Asset Price Volatility: the ARCH and GARCH Models

PART V: SELECTED TOPICS IN ECONOMETRICS

17. Economic Forecasting

18. Panel Data Regression Models

19. Stochastic Regressors and the Method of Instrumental Variables

20. Quantile Regression Modeling

21. Multivariate Regression Models

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