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Home › Books › Introductory Econometrics: A Modern Approach
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Book Info
PublisherCengage Learning
PublishedJan 1, 2015
Edition6th
ISBN-13978-1305270109
ISBN-10130527010X
LevelUndergraduate
Econometrics

Introductory Econometrics: A Modern Approach

A Modern Approach
By Jeffrey M. Wooldridge

About This Book

This textbook provides a comprehensive introduction to econometrics, focusing on the application of modern methods to real-world economic data. It emphasizes the intuition behind econometric methods and the practical interpretation of results, moving away from the traditional focus on algebraic derivations.
Book Review | Amerbach
Introductory Econometrics: A Modern Approach by Jeffrey M. Wooldridge serves as a foundational text for undergraduate students navigating the intersection of economic theory and empirical analysis. The book is distinguished by its pedagogical shift away from the heavy reliance on matrix algebra that characterized earlier generations of econometrics instruction. Instead, Wooldridge prioritizes the conceptual understanding of regression analysis, placing significant weight on the interpretation of results and the practical application of econometric tools to real-world datasets. The scope of the work is broad, covering essential topics such as simple and multiple regression, inference, qualitative information, heteroskedasticity, and time series analysis. A notable characteristic of this book is its integration of empirical examples that mirror the types of questions economists actually ask in research settings. By grounding abstract statistical concepts in concrete economic problems, the book facilitates a more intuitive grasp of the material. The organization is logical, building from basic cross-sectional analysis toward more complex time series and panel data methods, which allows for a structured learning progression. The text is widely utilized in undergraduate economics curricula, providing a rigorous yet accessible entry point for students who may not have extensive mathematical backgrounds but require a functional understanding of how to evaluate economic data. The book is particularly effective at bridging the gap between theoretical statistics and applied research, ensuring that students can not only perform calculations but also critically assess the validity of econometric models. In the context of academic study, this book occupies a central position as a standard reference for introductory courses. It provides the necessary technical foundation for students to proceed to more advanced econometrics or specialized empirical research, making it an essential resource for those seeking to develop a robust toolkit for modern economic analysis.

Academic Use

Introductory Econometrics courses

Who Is It For?

Undergraduate students in economics and related social sciences

Table of Contents

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