Description

Book Synopsis

James Harold Stock is an American economist, professor of economics, and vice provost for climate and sustainability at Havard University.

Mark W. Watson is the Howard Harrison and Gabrielle Snyder Beck Professor of Economics and Public Affairs at Princeton University.



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

Introduction to Econometrics Global Edition

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    A Paperback by James H. Stock, Mark Watson

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      View other formats and editions of Introduction to Econometrics Global Edition by James H. Stock

      Publisher: Pearson Education
      Publication Date: 5/13/2019 12:00:00 AM
      ISBN13: 9781292264455, 978-1292264455
      ISBN10: 1292264454

      Description

      Book Synopsis

      James Harold Stock is an American economist, professor of economics, and vice provost for climate and sustainability at Havard University.

      Mark W. Watson is the Howard Harrison and Gabrielle Snyder Beck Professor of Economics and Public Affairs at Princeton University.



      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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