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(eBook PDF) Introductory Econometrics: A Modern Approach 4th Edition

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Product details:

  • ISBN-10 ‏ : ‎ 0324660545
  • ISBN-13 ‏ : ‎ 978-0324660548
  • Author: Jeffrey M. Wooldridge

Practical and professional, Wooldridge’s INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 4e bridges the gap between how undergraduate econometrics has traditionally been taught and how empirical researchers actually think about and apply econometric methods. The text’s unique approach reflects how econometric instruction has evolved from simply describing a set of abstract recipes to showing how econometrics can be used to empirically study questions across a variety of disciplines. The systematic approach, where assumptions are introduced only as they are needed to obtain a certain result, makes the material easier for students, and leads to better econometric practice. Unlike traditional texts, INTRODUCTORY ECONOMETRICS is organized around the type of data being analyzed — an approach that simplifies the exposition and allows a more careful discussion of assumptions. Packed with relevant applications and a wealth of interesting data sets, the text emphasizes examples that have implications for policy or provide evidence for or against economic theories.

Table contents:

Chapter 1. The Nature of Econometrics and Economic Data
Part 1. Regression Analysis with Cross-Sectional Data
Chapter 2. The Simple Regression Model
Chapter 3. Multiple Regression Analysis: Estimation
Chapter 4. Multiple Regression Analysis: Inference
Chapter 5. Multiple Regression Analysis: OLS Asymptotics
Chapter 6. Multiple Regression Analysis: Further Issues
Chapter 7. Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables
Chapter 8. Heteroskedasticity
Chapter 9. More on Specification and Data Problems
Part 2. Regression Analysis with Time Series Data
Chapter 10. Basic Regression Analysis with Time Series Data
Chapter 11. Further Issues in Using OLS with Time Series Data
Chapter 12. Serial Correlation and Heteroskedasticity in Time Series Regressions
Part 3. Advanced Topics
Chapter 13. Pooling Cross Sections Across Time. Simple Panel Data Methods
Chapter 14. Advanced Panel Data Methods
Chapter 15. Instrumental Variables Estimation and Two Stage Least Squares
Chapter 16. Simultaneous Equations Models
Chapter 17. Limited Dependent Variable Models and Sample Selection Corrections
Chapter 18. Advanced Time Series Topics
Chapter 19. Carrying out an Empirical Project

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