Introduction to Econometrics, Student Value Edition Plus MyLab Economics with Pearson eText -- Access Card Package (Pearson Series in Economics)

NOTE: This loose-leaf, three-hole punched version of the textbook gives you the flexibility to take only what you need to class and add your own notes -- all at an affordable price. For loose-leaf editions that include MyLab™ or Mastering™, several versions may exist for each title and registrations are not transferable. You may need a Course ID, provided by your instructor, to register for and use MyLab or Mastering products.

For courses in introductory econometrics.

This package includes MyLab Economics.

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 4th Edition maintains a focus on currency, while building on the philosophy that applications should drive the theory, not the other way around. The text incorporates 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.

Personalize learning with MyLab Economics

By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.

0134611004 / 9780134611006 Introduction to Econometrics, Student Value Edition Plus MyLab Economics with Pearson eText -- Access Card Package

Package consists of:

• 0134520157 / 9780134520155 Introduction to Econometrics, Student Value Edition
• 0134543939 / 9780134543932 MyLab Economics with Pearson eText -- Access Card -- for Introduction to Econometrics