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Basic Econometrics : A Computer Handbook Using SHAZAM / With 3.5" Disk

Basic Econometrics : A Computer Handbook Using SHAZAM / With 3.5" Disk - 3rd edition

ISBN13: 978-0070698642

Cover of Basic Econometrics : A Computer Handbook Using SHAZAM / With 3.5" Disk 3RD 95 (ISBN 978-0070698642)
ISBN13: 978-0070698642
ISBN10: 0070698643
Cover type:
Edition/Copyright: 3RD 95
Publisher: McGraw-Hill Publishing Company
Published: 1995
International: No

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Basic Econometrics : A Computer Handbook Using SHAZAM / With 3.5" Disk - 3RD 95 edition

ISBN13: 978-0070698642

Damodar Gujarati, Kenneth J. White and Steven A. Theobald

ISBN13: 978-0070698642
ISBN10: 0070698643
Cover type:
Edition/Copyright: 3RD 95
Publisher: McGraw-Hill Publishing Company

Published: 1995
International: No
Summary

This is a thorough revision of the best-selling undergraduate Econometrics text. Accessible, complete, and student-oriented, Basic Econometrics is appropriate for first courses in Econometrics at all four-year colleges and universities.In addition to a first-rate text, students have access to the SHAZY student version of SHAZAM, an inexpensive version of a widely used econometrics package, as well as data sets.

Author Bio

Gujarati, Damodar N. : United States Military Academy

Table of Contents

1. The Nature of Regression Analysis.
2. Two-Variable Regression Analysis: Some Basic Ideas.
3. Two Variable Regression Model: The Problem of Estimation.
4. The Normality Assumption: Classical Normal Linear Regression Model.
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. The Matrix Approach to Linear Regression Model.
10. Multicollinearity and Micronumerosity.
11. Heteroscedasticity.
12. Autocorrelation.
13. Econometric Modeling I: Traditional Econometric Methodology.
14. Econometric Modeling II: Alternative Econometric Methodologies.
15. Regression on Dummy Variables.
16. Regression on Dummy Dependent Variable: The LPM, Logit, Probit, and Tobit Models.
17. Dynamic Econometric Model: Autoregressive and Distributed Lag Models.
18. Simultaneous-Equation Models.
19. The Identification Problem.
20. Simultaneous-Equation Methods.
21. Time Series Econometrics I: Stationarity, Unit Roots, and Cointegration.
22. Time Series Econometrics II: ARIMA and VAR Models.

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