Roger_ssx
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- Feb 8, 2019
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- Business & Management
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Hello university students,
My name is Roger and here I am sharing awesome Book Summary, Notes, Exam Review for the textbook - Introduction to Econometrics by James H. Stock, Mark W. Watson, taught mostly to students undergoing business and management or economics specialization courses.
This Book Summary, Notes, Exam Review for the textbook - Introduction to Econometrics by James H. Stock, Mark W. Watson will help you revise the key topics quickly, and get better grades in university exams. The topics covered in this PDF are as per the curriculum in most universities across the US.
List of key topics covered in Book Summary, Notes, Exam Review for the textbook - Introduction to Econometrics by James H. Stock, Mark W. Watson:
My name is Roger and here I am sharing awesome Book Summary, Notes, Exam Review for the textbook - Introduction to Econometrics by James H. Stock, Mark W. Watson, taught mostly to students undergoing business and management or economics specialization courses.
This Book Summary, Notes, Exam Review for the textbook - Introduction to Econometrics by James H. Stock, Mark W. Watson will help you revise the key topics quickly, and get better grades in university exams. The topics covered in this PDF are as per the curriculum in most universities across the US.
List of key topics covered in Book Summary, Notes, Exam Review for the textbook - Introduction to Econometrics by James H. Stock, Mark W. Watson:
- Chapter 1: Economic questions and data
- Chapter 2: Review of probability
- Chapter 3: Review of statistics
- 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
- Chapter 10: Regression with panel data
- Chapter 11: Regression with a binary dependent variable
- Chapter 12: The IV estimator with a single regressor and a single instrument
- Chapter 14: Introduction to time series regression and forecasting
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