Introduction to econometrics
著者
書誌事項
Introduction to econometrics
（Pearson series in economics）
Pearson, c2015
Updated 3rd ed., Global ed
- : [pbk.]
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注記
"Pearson global edition"--P. [4] of cover
Includes bibliographical references (p. 811-815) and index
内容説明・目次
内容説明
For courses in Introductory Econometrics Engaging applications bring the theory and practice of modern econometrics to life Ensure students grasp the relevance of econometrics with Introduction to Econometrics-the text that connects modern theory and practice with motivating, engaging applications. The Third Edition Update maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around. This program provides a better teaching and learning experience-for you and your students. Here's how: * Keeping it current with new and updated discussions on topics of particular interest to today's students. * Presenting consistency through theory that matches application. * Offering a full array of pedagogical features. MyEconLab(R) is not included. Students, if MyEconLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. MyEconLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyEconLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results.
With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts.
目次
Part I. Introduction and Review
1. Economic Questions and Data
2. Review of Probability
3. Review of Statistics
Part II. Fundamentals of Regression Analysis
4. Linear Regression with One Regressor
5. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
6. Linear Regression with Multiple Regressors
7. Hypothesis Tests and Confidence Intervals in Multiple Regression
8. Nonlinear Regression Functions
9. Assessing Studies Based on Multiple Regression
Part III. Further Topics in Regression Analysis
10. Regression with Panel Data
11. Regression with a Binary Dependent Variable
12. Instrumental Variables Regression
13. Experiments and Quasi-Experiments
Part IV. Regression Analysis of Economic Time Series Data
14. Introduction to Time Series Regression and Forecasting
15. Estimation of Dynamic Causal Effects
16. Additional Topics in Time Series Regression
Part V. The Econometric Theory of Regression Analysis
17. The Theory of Linear Regression with One Regressor
18. The Theory of Multiple Regression
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