Introduction to Econometrics
International Edition
3rd Edition
Published on 25. February 2011
Book
Paperback/Softback
832 pages
978-1-4082-6433-1 (ISBN)
Description
For courses in introductory econometrics.
An approach to modern econometrics theory and practice through engaging applications.
Ensure students grasp the relevance of econometrics with Introduction to Econometrics the text that connects modern theory and practice with engaging applications.
The third edition builds on the philosophy that applications should drive the theory, not the other way around, while maintaining a focus on currency.
An approach to modern econometrics theory and practice through engaging applications.
Ensure students grasp the relevance of econometrics with Introduction to Econometrics the text that connects modern theory and practice with engaging applications.
The third edition builds on the philosophy that applications should drive the theory, not the other way around, while maintaining a focus on currency.
More details
Edition
3rd edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
Dimensions
Height: 231 mm
Width: 188 mm
Thickness: 30 mm
Weight
1292 gr
ISBN-13
978-1-4082-6433-1 (9781408264331)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
James Stock | Mark Watson
Introduction to Econometrics, Update, Global Edition
Book
10/2014
3rd Edition
Pearson Education Limited
€94.27
Article exhausted; check for reprint
Previous edition
Book
01/2011
3rd Edition
Pearson Education (US)
Unfortunately, price unknown
Article exhausted; check for reprint
Content
Part I. Introduction and Review
Chapter 1. Economic Questions and Data
Chapter 2. Review of Probability
Chapter 3. Review of Statistics
Part II. Fundamentals of Regression Analysis
Chapter 4. Linear Regression with One Regressor
Chapter 5. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
Chapter 6. Linear Regression with Multiple Regressors
Chapter 7. Hypothesis Tests and Confidence Intervals in Multiple Regression
Chapter 8. Nonlinear Regression Functions
Chapter 9. Assessing Studies Based on Multiple Regression
Part III. Further Topics in Regression Analysis
Chapter 10. Regression with Panel Data
Chapter 11. Regression with a Binary Dependent Variable
Chapter 12. Instrumental Variables Regression
Chapter 13. Experiments and Quasi-Experiments
Part IV. Regression Analysis of Economic Time Series Data
Chapter 14. Introduction to Time Series Regression and Forecasting
Chapter 15. Estimation of Dynamic Causal Effects
Chapter 16. Additional Topics in Time Series Regression
Part V. The Econometric Theory of Regression Analysis
Chapter 17. The Theory of Linear Regression with One Regressor
Chapter 18. The Theory of Multiple Regression
Chapter 1. Economic Questions and Data
Chapter 2. Review of Probability
Chapter 3. Review of Statistics
Part II. Fundamentals of Regression Analysis
Chapter 4. Linear Regression with One Regressor
Chapter 5. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
Chapter 6. Linear Regression with Multiple Regressors
Chapter 7. Hypothesis Tests and Confidence Intervals in Multiple Regression
Chapter 8. Nonlinear Regression Functions
Chapter 9. Assessing Studies Based on Multiple Regression
Part III. Further Topics in Regression Analysis
Chapter 10. Regression with Panel Data
Chapter 11. Regression with a Binary Dependent Variable
Chapter 12. Instrumental Variables Regression
Chapter 13. Experiments and Quasi-Experiments
Part IV. Regression Analysis of Economic Time Series Data
Chapter 14. Introduction to Time Series Regression and Forecasting
Chapter 15. Estimation of Dynamic Causal Effects
Chapter 16. Additional Topics in Time Series Regression
Part V. The Econometric Theory of Regression Analysis
Chapter 17. The Theory of Linear Regression with One Regressor
Chapter 18. The Theory of Multiple Regression