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Introductory Econometrics : A Modern Approach

Introductory Econometrics : A Modern Approach - 00 edition

ISBN13: 978-0538850131

Cover of Introductory Econometrics : A Modern Approach 00 (ISBN 978-0538850131)
ISBN13: 978-0538850131
ISBN10: 0538850132
Cover type: Hardback
Edition/Copyright: 00
Publisher: South-Western Publishing Co.
Published: 2000
International: No

List price: $221.00

Introductory Econometrics : A Modern Approach - 00 edition

ISBN13: 978-0538850131

Jeffrey Wooldridge

ISBN13: 978-0538850131
ISBN10: 0538850132
Cover type: Hardback
Edition/Copyright: 00
Publisher: South-Western Publishing Co.

Published: 2000
International: No
Summary

The modern approach of this text recognizes that econometrics has moved from a specialized mathematical description of economics to an applied interpretation based on empirical research techniques. It bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Throughout the text, the emphasis on examples gives a concrete reality to economic relationships and allows treatment of interesting policy questions in a realistic and accessible framework.

Table of Contents

1. The Nature of Econometrics and Economic Data.

PART I:. REGRESSION ANALYSIS WITH CROSS SECTION DATA.

2. The Simple Regression Model.
3. Multiple Regression Analysis: Estimation.
4. Multiple Regression Analysis: Inference.
5. Multiple Regression Analysis: OLS Asymptotics.
6. Multiple Regression Analysis: Further Issues.
7. Multiple Regression Analysis with Qualitative information: Binary (or Dummy) Variables.
8. Heteroskedasticity.
9. More on Specification and Data Problems.

PART II: REGRESSION ANALYSIS WITH TIME SERIES DATA.

10. Basic Regression Analysis with Time Series Data.
11. Further Issues in Using OLS with Time Series Data.
12. Serial Correlation and Heteroskedasticity in Time Series Regressions.

PART III: ADVANCED TOPICS.

13. Polling Cross Sections Across Time: Simple Panel Data Methods.
14. Advanced Panel Data Methods.
15. Instrumental Variables Estimation and Two State Least Squares.
16. Introduction to Simultaneous Equations Models.
17. Limited Dependent Variable Models and Sample Selection Corrections.
18. Advanced Time Series Topics.
19. Carrying Out an Empirical Project.