Introduction to Econometrics, Student Value Edition, 4th edition
-
eText
$59.99Digital book that you can read instantly
-
-
Instant access$59.99
Pearson eText Introduction to Econometrics -- Instant Access
ISBN-13: 9780136879787
eText
12-month access
-
-
MyLab
3 from $99.99Pearson course ID or link in LMS required
-
-
Instant access$99.99
MyLab Economics with Pearson eText -- Instant Access -- for Introduction to Econometrics
ISBN-13: 9780134543826
-
-
-
Free deliveryWas$193.32 Now$154.66
Introduction to Econometrics, Student Value Edition Plus MyLab Economics with Pearson eText -- Access Card Package
ISBN-13: 9780134611006
-
-
-
Free deliveryWas$279.99 Now$223.99
Introduction to Econometrics Plus MyLab Economics with Pearson eText -- Access Card Package
ISBN-13: 9780134610986
-
-
Print
2 from $138.66Hardcover, paperback, or loose-leaf
-
-
Free deliveryWas$173.32 Now$138.66
Introduction to Econometrics, Student Value Edition
ISBN-13: 9780134520155
Loose-Leaf
-
-
-
Free deliveryWas$266.65 Now$213.32
Introduction to Econometrics
ISBN-13: 9780134461991
Hardcover
-
Overview
Ensure students grasp the relevance of econometrics with Introduction to Econometrics — the text that connects modern theory and practice with motivating, engaging applications. The 4th Edition maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around. Authors Stock and Watson incorporateY real-world questions and data, and methods that are immediately relevant to the applications. With very large data sets increasingly being used in economics and related fields, a new chapter dedicated to Big Data helps students learn about this growing and exciting area. This coverage and approach make the subject come alive for students and helps them to become sophisticated consumers of econometrics.
Features and benefits
MyLab gives you the tools you need to learn — and to get a better grade.
- Personalized study tools: Shows you what you know, what you don’t, and where to spend your time to fill the gaps
- Immediate feedback: On assignments and quizzes — and assistance with each problem if you need it — helps you get unstuck
- The mobile eText: Lets you learn on your terms, wherever you are.
Table of contents
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
14. Prediction with Many Regressors and Big Data
PART IV: REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA
15. Introduction to Time Series Regression and Forecasting
16. Estimation of Dynamic Causal Effects
17. Additional Topics in Time Series Regression
PART V: THE ECONOMIC THEORY OF REGRESSION ANALYSIS
18. The Theory of Linear Regression with One Regressor
19. The Theory of Multiple Regression
For teachers
All the material you need to teach your courses.
Discover teaching materialPublished by Pearson (November 6th 2018) - Copyright © 2019