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Basic Econometrics 5th Edition Paperback (English)

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Highlights

  • ISBN 13: 9780071333450
  • ISBN 10: 0071333452
  • Author: Damodar N. Gujarati, Dawn C. Porter, Sangeetha Gunasekar
  • Publisher: Tata Mcgraw Hill
  • Publishing Year: 2011
  • No. of Pages: 909
  • Binding: Paperback
  • Language: English
  • SUPC: SDL015388677

Description




Synopsis:


An intuitive and comprehensive book highlighting the concepts, examples, and basic econometrics in a thorough format, Basic Econometrics Paperback (English) 5th Edition authored by Damodar Gujarati is the perfect guide for aspirants. You can buy Books Basic Econometrics Paperback (English) 5th Edition from Snapdeal at highly competitive prices.



Table of Contents


The book covers the following topics in details:

Part I: Single-Equation Regression Model

Chapter 1: The Nature of Regression Analysis

Chapter 2: Two-Variable Regression Analysis: Some Basic Ideas

Chapter 3: Two Variable Regression Model: The Problem of Estimation

Chapter 4: Classical Normal Linear Regression Model (CNLRM

Chapter 5: Two-Variable Regression: Interval Estimation and Hypothesis Testing

Chapter 6: Extensions of the Two-Variable Linear Regression Model

Chapter 7: Multiple Regression Analysis: The Problem of Estimation

Chapter 8: Multiple Regression Analysis: The Problem of Inference

Chapter 9: Dummy Variable Regression Models

Part II: Relaxing the Assumptions of the Classical Model

Chapter 10: Multicollinearity: What happens if the Regressor are Correlated

Chapter 11: Heteroscedasticity: What Happens if the Error Variance is Nonconstant?

Chapter 12: Autocorrelation: What Happens if the Error Terms are Correlated

Chapter 13: Econometric Modeling: Model Specification and Diagnostic Testing

Part III: Topics in Econometrics

Chapter 14: Nonlinear Regression Models

Chapter 15: Qualitative Response Regression Models

Chapter 16: Panel Data Regression Models

Chapter 17: Dynamic Econometric Model: Autoregressive and Distributed-Lag Models.

Part IV: Simultaneous-Equation Models

Chapter 18: Simultaneous-Equation Models.

Chapter 19: The Identification Problem.

Chapter 20: Simultaneous-Equation Methods.

Chapter 21: Time Series Econometrics: Some Basic Concepts

Chapter 22: Time Series Econometrics: Forecasting

Appendix A: Review of Some Statistical Concepts

Appendix B: Rudiments of Matrix Algebra

Appendix C: The Matrix Approach to Linear Regression Model

Appendix D: Statistical Tables

Appendix E: Computer Output of EViews, MINITAB, Excel, and STATA

Appendix F: Economic Data on the World Wide Web
 

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