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Introductory Econometrics: A Modern Approach with MindTap

Author(s): Jeffrey M. Wooldridge

ISBN: 9789355731074

7th Edition

Copyright: 2020

India Release: 2022

₹1195

Binding: Paperback

Pages: 848

Trim Size: 254 x 203 mm

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Gain an understanding of how econometrics can answer today's questions in business, policy evaluation and forecasting with Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 7E. Unlike traditional texts, this book's practical, yet professional, approach demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions across a variety of disciplines. The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 data sets in different formats. Updates introduce the latest developments in the field, including the recent advances in the so-called “causal effects” or “treatment effects," to provide a complete understanding of the impact and importance of econometrics today.

  • Scientific Word® Slides: Animated lecture slides created by the author using LaTeX typesetting; downloadable from the companion website.
  • Practical Business Applications: Econometrics methods applied to real-world business problems across disciplines.
  • Unique Structure: Begins with cross-sectional data, followed by time series, and concludes with panel data applications.
  • Data Set Handbook: Online guide listing all data sets with sources, usage tips, and ideas for assignments and projects.
  • Multi-Format Data Sets: Over 100 data sets available in R, Stata®, Minitab®, Excel®, and EViews for flexible teaching and hands-on practice.
  • Comprehensive Econometrics Coverage: Expanded topics include prediction after transformation, missing data, unbalanced panels, weak instruments, and causal effects.
  • Latest Field Developments: Includes modern examples and an online-only chapter on advanced causal estimation methods.
  • MindTap Integration: Interactive learning platform with tools like CNOW, Aplia, ReadSpeaker, and more for a complete learning experience.

1. The Nature of Econometrics and Economic Data.

Part I: REGRESSION ANALYSIS WITH CROSS-SECTIONAL 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.

8. Heteroskedasticity.

9. More on Specification and Data Problems.

Part II: REGRESSION ANALYSIS WITH TIME SERIES DATA.

10. Basic Regression Analysis with Time Series Data.

11. Further Issues in Using OLS with Time Series Data.

12. Serial Correlation and Heteroskedasticity in Time Series Regressions.

Part III: ADVANCED TOPICS.

13. Pooling Cross Sections Across Time: Simple Panel Data Methods.

14. Advanced Panel Data Methods.

15. Instrumental Variables Estimation and Two 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.

Answers to Exploring Further Chapter Exercises.

Statistical Tables.

Jeffrey M. Wooldridge

Jeffrey M. Wooldridge is University Distinguished Professor of Economics at Michigan State University, where he has taught since 1991. From 1986 to 1991, he was an assistant professor of economics at the Massachusetts Institute of Technology.