《Introduction to Econometrics》电子书下载

Introduction to Econometricstxt,chm,pdf,epub,mobi下载
作者: James H. Stock / Mark W. Watson
出版社: Pearson
出版年: 2010-12-1
页数: 840
定价: GBP 195.07
装帧: Hardcover
ISBN: 9780138009007

内容简介  · · · · · ·

For courses in introductory econometrics.

An approach to modern econometrics theory and practice through engaging applications.

Ensure students grasp the relevance of econometrics with Introduction to Econometrics–the text that connects modern theory and practice with engaging applications.

The third edition builds on the philosophy that applications should drive the theory, no...




作者简介  · · · · · ·

James Stock - http://www.economics.harvard.edu/faculty/stock

Mark Watson - http://www.princeton.edu/~mwatson/




目录  · · · · · ·

Part I. Introduction and Review
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Chapter 1. Economic Questions and Data
Chapter 2. Review of Probability
Chapter 3. Review of Statistics
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· · · · · · ()
Part I. Introduction and Review
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Chapter 1. Economic Questions and Data
Chapter 2. Review of Probability
Chapter 3. Review of Statistics
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Part II. Fundamentals of Regression Analysis
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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
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Part III. Further Topics in Regression Analysis
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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
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Part IV. Regression Analysis of Economic Time Series Data
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Chapter 14. Introduction to Time Series Regression and Forecasting
Chapter 15. Estimation of Dynamic Causal Effects
Chapter 16. Additional Topics in Time Series Regression
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Part V. The Econometric Theory of Regression Analysis
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Chapter 17. The Theory of Linear Regression with One Regressor
Chapter 18. The Theory of Multiple Regression
· · · · · · ()

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