Introduction to Econometrics, Global Edition, 4th edition

Published by Pearson (2 March 2023) © 2022

  • James H. Stock Harvard University
  • Mark W. Watson Princeton University
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In this eTextbook — More ways to learn

  • More support. Get AI help with personalised summaries, instant explanations, and quick translations.
  • More flexible. Start learning right away, on any device.
  • More interactive. Learn through audio, video, and practice.
  • More memorable. Study better with notes, highlights, and flashcards.
Products list

In this eTextbook — More ways to learn

  • More support. Get AI help with personalised summaries, instant explanations, and quick translations.
  • More flexible. Start learning right away, on any device.
  • More interactive. Learn through audio, video, and practice.
  • More memorable. Study better with notes, highlights, and flashcards.

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

  1. Linear Regression with One Regressor
  2. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
  3. Linear Regression with Multiple Regressors
  4. Hypothesis Tests and Confidence Intervals in Multiple Regression
  5. Nonlinear Regression Functions
  6. Assessing Studies Based on Multiple Regression

PART III: FURTHER TOPICS IN REGRESSION ANALYSIS

  1. Regression with Panel Data
  2. Regression with a Binary Dependent Variable
  3. Instrumental Variables Regression
  4. Experiments and Quasi-Experiments
  5. Prediction with Many Regressors and Big Data

PART IV: REGRESSION ANALYSIS OF ECONOMIC TIME SERIES DATA

  1. Introduction to Time Series Regression and Forecasting
  2. Estimation of Dynamic Causal Effects
  3. Additional Topics in Time Series Regression

PART V: THE ECONOMIC THEORY OF REGRESSION ANALYSIS

  1. The Theory of Linear Regression with One Regressor
  2. The Theory of Multiple Regression

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