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Basic Econometrics Gujarati and Porter Fifth Edition

US $47.50
ApproximatelyC $65.85
Condition:
Very Good
“Cover look new, some light highlighting and notes”
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Item specifics

Condition
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Cover look new, some light highlighting and notes”
ISBN
9780071276252

About this product

Product Identifiers

Publisher
McGraw-Hill Companies, T.H.E.
ISBN-10
0071276254
ISBN-13
9780071276252
eBay Product ID (ePID)
219616243

Product Key Features

Edition
5
Book Title
Basic Econometrics
Number of Pages
922 Pages
Language
English
Topic
Economics / General, Econometrics
Publication Year
2010
Genre
Business & Economics
Author
Damodar N. Gujarati
Book Series
Econometrics Ser.
Format
Trade Paperback

Dimensions

Item Height
1.5 in
Item Weight
0.1 Oz
Item Length
10 in
Item Width
7.9 in

Additional Product Features

Intended Audience
Trade
Dewey Edition
21
Dewey Decimal
330/.01/5195
Table Of Content
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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