Introduction to Econometrics 4th Edition

Introduction to Econometrics (4th Edition)

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Introduction to Econometrics (4th Edition)

Book Edition4th Edition
Author(s)Stock, Watson
ISBN9780134461991
Alternate ISBN(s)9780134520155
PublisherPearson
SubjectEconomics

Course Hero-verified solutions and explanations

  1. Chapter 1Economic Questions and Data

  2. Chapter 2Review of Probability

  3. Chapter 3Review of Statistics

  4. Chapter 4Linear Regression with One Regressor

  5. Chapter 5Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals

  6. Chapter 6Linear Regression with Multiple Regressors

  7. Chapter 7Hypothesis Tests and Confidence Intervals in Multiple Regression

  8. Chapter 8Nonlinear Regression Functions

  9. Chapter 9Assessing Studies Based on Multiple Regression

  10. Chapter 10Regression with Panel Data

  11. Chapter 11Regression with a Binary Dependent Variable

  12. Chapter 12Instrumental Variables Regression

  13. Chapter 13Experiments and Quasi-Experiments

  14. Chapter 14Prediction with Many Regressors and Big Data

  15. Chapter 15Introduction to Time Series Regression and Forecasting

  16. Chapter 16Estimation of Dynamic Causal Effects

  17. Chapter 17Additional Topics in Time Series Regression

  18. Chapter 18The Theory of Linear Regression with One Regressor

  19. Chapter 19The Theory of Multiple Regression

  • Solutions
  • Book Info

  1. Chapter 1Economic Questions and Data

  2. Chapter 2Review of Probability

  3. Chapter 3Review of Statistics

  4. Chapter 4Linear Regression with One Regressor

  5. Chapter 5Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals

  6. Chapter 6Linear Regression with Multiple Regressors

  7. Chapter 7Hypothesis Tests and Confidence Intervals in Multiple Regression

  8. Chapter 8Nonlinear Regression Functions

  9. Chapter 9Assessing Studies Based on Multiple Regression

  10. Chapter 10Regression with Panel Data

  11. Chapter 11Regression with a Binary Dependent Variable

  12. Chapter 12Instrumental Variables Regression

  13. Chapter 13Experiments and Quasi-Experiments

  14. Chapter 14Prediction with Many Regressors and Big Data

  15. Chapter 15Introduction to Time Series Regression and Forecasting

  16. Chapter 16Estimation of Dynamic Causal Effects

  17. Chapter 17Additional Topics in Time Series Regression

  18. Chapter 18The Theory of Linear Regression with One Regressor

  19. Chapter 19The Theory of Multiple Regression