Introduction to Econometrics, 3rd edition

Published by Pearson (July 23, 2014) © 2015

  • James H. Stock Harvard University
  • Mark W. Watson Princeton University
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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 sop
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.
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.

TABLE OF CONTENTS 



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  

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