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  

This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States. Keeping it current with new and updated discussions on topics of particular interest to today’s students, including: NEW! Updated Exercises - 1/3 of the material has been updated. NEW! Updated Empirical Exercises - 2/3 of the material has been updated. The treatment of standard errors for panel data regression (Chapter 10). When and why missing data can present a problem for regression analysis (Chapter 9). The use of regression discontinuity design as a method for analyzing quasi-experiments (Chapter 13). Weak instruments (Chapter 12). The use and interpretation of control variables is integrated into the core development of regression analysis (Chapter 7). Introduction of the “potential outcomes” framework for experimental data (Chapter 13). Presenting consistency through theory that matches application: A modern treatment gives students enough econometric theory to understand the strengths and limitations of econometric tools, making the fit between theory and applications as tight as possible, while keeping the mathematics at a level that requires only algebra. Creating skilled producers and sophisticated consumers: Students learn how to use the tools of regression analysis and how to assess the validity of empirical analyses presented to them through a threefold process: Immediately after introducing the main tools of regression analysis, Chapter 9 is devoted to the threats to internal and external validity of an empirical study. This chapter discusses data problems and issues of generalizing findings to other settings. Next the methods for assessing empirical studies to the empirical analysis are applied to the ongoing examples in the book. And lastly, students need firsthand experience as producers in order to be sophisticated consumers. The textbook website features data sets, software, and suggestions for empirical exercises of differing scopes. Offering a full array of pedagogical features, including: Chapter Introductions provide a real-world context and are a useful road map for the chapter’s material. Key Terms are boldfaced and defined in context throughout each chapter. Key Concept boxes at regular intervals recap the central ideas. General Interest Boxes provide interesting insight into related topics, while also highlighting real-world studies. Additional general interest boxes have been included in this edition. A Chapter Summary appears at the end of each chapter. Review the Concepts are questions to check students’ understanding. Exercises give students more intensive practice working with the concepts and techniques introduced in the chapter. Additional exercises, both pencil-and-paper and empirical, have been added to this edition. Empirical Exercises allow the students to apply what they have learned to answer real-world empirical questions. Reference lists provide sources for further reading. The Appendix provides statistical tables and the Glossary conveniently defines all the key terms in the book. NEW! The Companion Website has been updated to include current Data sets as well as Exercises and Empirical Exercises.

Keeping it current with new and updated discussions on topics of particular interest to today’s students. Updated Exercises - 1/3 of the material has been updated. Updated Empirical Exercises - 2/3 of the material has been updated. Offering a full array of pedagogical features. The Companion Website has been updated to include current Data sets as well as Exercises and Empirical Exercises.    This package includes MyEconLab, an online homework, tutorial, and assessment program designed to work with this text 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. Personalized learning with MyEconLab—recommendations to help students better prepare for class, quizzes, and exams—and ultimately achieve improved comprehension in the course. MyEconLab - A robust MyEconLab course has been built for the 3e update, including as many Review NEW! Questions, Exercises, and Empirical Exercises as possible.