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Introductory Econometrics, 7th Edition

Author: Jeffrey Wooldridge   Series: Mindtap Course List

  • Hardcover
    $176.18
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ISBN / EAN: 9781337558860
This textbook is prescribed for the following courses:
ECON1066 - Basic Econometrics RMIT University
MAF907 - Empirical Methods in Corporate Financen (Ph.D) Deakin University
ECMT2150 - – Intermediate Econometrics University of Sydney
ECON7310 - Elements Of Econometrics University of Queensland
ECON3360 - Causal Inference for Microeconometrics University of Queensland
ECON7360 - Causal Inference for Microeconometrics University of Queensland
ECOM2000 - Econometric Principles Curtin University
178.28 - Introduction to Econometrics Massey University Palmerston
Use our Textbook Finder to find the rest of your Textbooks!
PUBLISHED: 4th January 2019
ISBN: 9781337558860
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ISBN / EAN: 9781337558860
This textbook is prescribed for the following courses:
ECON1066 - Basic Econometrics RMIT University
MAF907 - Empirical Methods in Corporate Financen (Ph.D) Deakin University
ECMT2150 - – Intermediate Econometrics University of Sydney
ECON7310 - Elements Of Econometrics University of Queensland
ECON3360 - Causal Inference for Microeconometrics University of Queensland
ECON7360 - Causal Inference for Microeconometrics University of Queensland
ECOM2000 - Econometric Principles Curtin University
178.28 - Introduction to Econometrics Massey University Palmerston
Use our Textbook Finder to find the rest of your Textbooks!
OTHER FORMATS:
  • Hardcover
    $176.18
PUBLISHED: 4th January 2019
ISBN: 9781337558860

Publisher Description

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.

Author Biography

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. He received his bachelor of arts, with majors in computer science and economics, from the University of California, Berkeley, in 1982, and received his doctorate in economics in 1986 from the University of California, San Diego. He has published more than 60 articles in internationally recognized journals, as well as several book chapters. He is also the author of Econometric Analysis of Cross Section and Panel Data, second edition. His awards include an Alfred P. Sloan Research Fellowship, the Plura Scripsit award from Econometric Theory, the Sir Richard Stone prize from the Journal of Applied Econometrics, and three graduate teacher-of-the-year awards from MIT. He is a fellow of the Econometric Society and of the Journal of Econometrics. He is past editor of the Journal of Business and Economic Statistics, and past econometrics coeditor of Economics Letters. He has served on the editorial boards of Econometric Theory, the Journal of Economic Literature, the Journal of Econometrics, the Review of Economics and Statistics, and the Stata Journal. He has also acted as an occasional econometrics consultant for Arthur Andersen, Charles River Associates, the Washington State Institute for Public Policy, Stratus Consulting, and Industrial Economics, Incorporated.

Table of Contents

  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. Carrying Out an Empirical Project.
  20. Advanced Causal Estimation Methods (MindTap Only) 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 to Exploring Further Chapter Exercises. Statistical Tables. References. Glossary. Index.

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