Higher Education

Introductory Econometrics with MindTap

Author(s): Jeffrey M. Wooldridge

ISBN: 9789366600468

8th Edition

Copyright: 2025

India Release: 2026

₹1250

Binding: Paperback

Pages: 944

Trim Size: 279 x 216 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,  8th Edition. 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. This title is updated to 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.

  • Updated Data Set Handbook – Quick-reference guide to all data sets, including sources, text references, and ideas for assignments, exams, and projects.
  • Extensive Coverage of Modern Econometrics – Expanded treatment of prediction after transformation, missing data, unbalanced panels, weak instruments, and causal effects.
  • Real-World Business Applications – Demonstrates how econometric methods are used to address practical research and business challenges using non-experimental data.
  • Student-Friendly Structure – Unique progression from cross-sectional analysis to time-series and advanced panel data applications.
  • Reflects Latest Developments – Features contemporary examples, causal inference techniques, and an online chapter on advanced treatment-effect estimation methods.
  • 100+ Downloadable Data Sets – Available in R, Stata®, Minitab®, Excel®, and EViews formats for flexible teaching and hands-on learning.
  • Chapter-End Video Walk-Throughs – Step-by-step solutions to selected problems and computer exercises using both R and Stata, supporting practical skill development.
  • Comprehensive Instructor Resources – Password-protected Instructor’s Manual with solutions, teaching tips, and guidance for developing data-driven assessments.

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-Stage Least Squares

16. Simultaneous Equations Models

17. Limited Dependent Variable Models and Sample Selection Corrections

18. Advanced Time Series Topics

19. Advanced Methods for Causal Inference

20. Carrying Out an Empirical Project

Math Refresher A: Basic Mathematical Tools

Math Refresher B: Fundamentals of Probability

Math Refresher C: Fundamentals of Mathematical Statistics

Math Refresher D: Summary of Matrix Algebra

Math Refresher E: The Linear Regression Model in Matrix Form

Answers

Statistical Tables

Jeffrey M. Wooldridge

Jeffrey M. Wooldridge is University Distinguished Professor of Economics at Michigan State University, where he has taught since 1991.