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Econometric Analysis of Cross Section and Panel Data (2nd Edition) – eBook

eBook details

  • Author: Jeffrey M. Wooldridge
  • File Size: 12 MB
  • Format: PDF
  • Length: 1096 pages
  • Publisher: The MIT Press; 2nd edition
  • Publication Date: October 1, 2010
  • Language: English
  • ASIN: B007CNRAHY
  • ISBN-10: 0262232588
  • ISBN-13: 9780262232586

$91.99 $15.00

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Author(s)

Jeffrey M. Wooldridge

Jeffrey M. Wooldridge

Dr. Jeffrey M. Wooldridge is a University Distinguished Professor of Economics at Michigan State University, where Jeff has taught since 1991. Jeff got his B.A. with majors in computer science and economics from the University of California, Berkeley, and received his Ph.D. in economics from the University of California, San Diego.

From 1986 to 1991, he served as an Assistant Professor of Economics at the Massachusetts Institute of Technology (MIT). Professor Wooldridge has published more than 70 articles in internationally recognized journals, as well as several chapters in well-respected books. Dr. Wooldridge's work has earned numerous awards, including the Plura Scripsit award from Econometric Theory, the Sir Richard Stone prize from the Journal of Applied Econometrics, the Alfred P. Sloan Research Fellowship, and three graduate teacher-of-the-year awards from MIT.

 

This acclaimed graduate textbook, Wooldridge’s Econometric Analysis of Cross Section and Panel Data 2nd edition (PDF) provides a unified treatment of 2 methods used in contemporary econometric research: data panel and cross-section methods. By focusing on assumptions that can be given behavioral content, the ebook maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both nonlinear and linear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific nonlinear and linear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, causal (or treatment) effects, censored and missing data schemes, and duration analysis.

Econometric Analysis of Cross Section and Panel Data 2e was the first graduate econometrics textbook to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This 2nd edition has been substantially revised and updated. Improvements include a broader class of models for missing data problems; expanded discussion of “generalized instrumental variables” (GIV) estimation; more detailed treatment of cluster problems, an important topic for empirical researchers; new coverage (based on the author’s own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the “generalized estimating equation” literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell students what does work but why certain “obvious” procedures don’t. The numerous included exercises, both theoretical and computer-based, allow the students to extend methods covered in the textbook and discover new insights.

NOTE: This product only contains the ebook Econometric Analysis of Cross Section and Panel Data, 2nd edition in PDF. No access codes included.

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