Introduction to Econometrics
United States Edition
2nd Edition
Published on 10. August 2006
Book
Hardback
840 pages
978-0-321-27887-6 (ISBN)
Description
Designed for a first course in introductory econometrics, Introduction to Econometrics, reflects modern theory and practice, with interesting applications that motivate and match up with the theory to ensure students grasp the relevance of econometrics. Authors James H. Stock and Mark W. Watson integrate real-world questions and data into the development of the theory, with serious treatment of the substantive findings of the resulting empirical analysis.
More details
Edition
2nd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 232 mm
Width: 187 mm
Weight
1330 gr
ISBN-13
978-0-321-27887-6 (9780321278876)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
James H. Stock | Mark W. Watson
Introduction to Econometrics
Book
06/2011
3rd Edition
Pearson
€189.40
Article exhausted; check for reprint
Previous edition
Book
09/2002
Addison Wesley
€110.17
Article exhausted; check for reprint
Content
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PART ONE: INTRODUCTION AND REVIEW
Chapter 1 Economic Questions and Data
Chapter 2 Review of Probability
Chapter 3 Review of Statistics
PART TWO: 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 THREE: 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 FOUR: 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 FIVE: THE ECONOMETRIC THEORY OF REGRESSION ANALYSIS
Chapter 17 The Theory of Linear Regression with One Regressor
Chapter 18 The Theory of Multiple Regression
Appendix: Statistical Tables
PART ONE: INTRODUCTION AND REVIEW
Chapter 1 Economic Questions and Data
Chapter 2 Review of Probability
Chapter 3 Review of Statistics
PART TWO: 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 THREE: 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 FOUR: 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 FIVE: THE ECONOMETRIC THEORY OF REGRESSION ANALYSIS
Chapter 17 The Theory of Linear Regression with One Regressor
Chapter 18 The Theory of Multiple Regression
Appendix: Statistical Tables