Introduction to Econometrics
United States Edition
Published on 26. September 2002
Book
Hardback
696 pages
978-0-201-71595-8 (ISBN)
Description
Econometrics comes alive with Introduction to Econometrics!
This new, much-anticipated text teaches students how to become sophisticated consumers of econometrics. The authors focus on empirical analysis, integrating large data sets and modern, real-world questions into the theoretical development of the text.
The intuitive approach of Introduction to Econometrics uses interesting applications to motivate students to learn theory and to help them understand the application of the theory. Students come away with a thorough understanding of econometics and of the relationships on which people, businesses, and governments base their decisions.
This new, much-anticipated text teaches students how to become sophisticated consumers of econometrics. The authors focus on empirical analysis, integrating large data sets and modern, real-world questions into the theoretical development of the text.
The intuitive approach of Introduction to Econometrics uses interesting applications to motivate students to learn theory and to help them understand the application of the theory. Students come away with a thorough understanding of econometics and of the relationships on which people, businesses, and governments base their decisions.
More details
Language
English
Place of publication
Harlow
United Kingdom
Publishing group
Pearson Education Limited
Target group
Professional and scholarly
Dimensions
Width: 239 mm
Thickness: 32 mm
Weight
1296 gr
ISBN-13
978-0-201-71595-8 (9780201715958)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
08/2006
2nd Edition
Pearson
€100.27
Article exhausted; check for reprint
Content
I. INTRODUCTION AND REVIEW.
1. Economic Questions and Data.
2. Review of Probability.
3. Review of Statistics.
II. FUNDAMENTALS OF REGRESSION ANALYSIS.
4. Linear Regression with One Regressor.
5. Linear Regression with Multiple Regressors.
6. Nonlinear Regression Functions.
7. Assessing Studies Based on Multiple Regression.
III. FURTHER TOPICS IN REGRESSION ANALYSIS.
8. Regression with Panel Data.
9. Regression with a Binary Dependent Variable.
10. Instrumental Variables Regression.
11. Experiments and Quasi Experiments.
IV. REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA.
12. Introduction to Time Series Regression and Forecasting.
13. Estimation of Dynamic Causal Effects.
14. Additional Topics in Time Series Regression.
V. THE ECONOMETRIC THEORY OF REGRESSION ANALYSIS.
15. The Theory of Linear Regression with One Regressor.
16. The Theory of Multiple Regression.
Appendix: Statistical Tables.
1. Economic Questions and Data.
2. Review of Probability.
3. Review of Statistics.
II. FUNDAMENTALS OF REGRESSION ANALYSIS.
4. Linear Regression with One Regressor.
5. Linear Regression with Multiple Regressors.
6. Nonlinear Regression Functions.
7. Assessing Studies Based on Multiple Regression.
III. FURTHER TOPICS IN REGRESSION ANALYSIS.
8. Regression with Panel Data.
9. Regression with a Binary Dependent Variable.
10. Instrumental Variables Regression.
11. Experiments and Quasi Experiments.
IV. REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA.
12. Introduction to Time Series Regression and Forecasting.
13. Estimation of Dynamic Causal Effects.
14. Additional Topics in Time Series Regression.
V. THE ECONOMETRIC THEORY OF REGRESSION ANALYSIS.
15. The Theory of Linear Regression with One Regressor.
16. The Theory of Multiple Regression.
Appendix: Statistical Tables.