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

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

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About The Author

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 well-known graduate book, Wooldridge’s Econometric Analysis of Cross Section and Panel Data 2nd edition (PDF) offers a unified treatment of 2 approaches utilized in modern econometric research study: data panel and cross- section approaches. By concentrating on presumptions that can be provided behavioral material, the ebook preserves a suitable level of rigor while highlighting instinctive thinking. The analysis covers both nonlinear and direct designs, consisting of designs with characteristics and/ or private heterogeneity. In addition to basic estimate structures (specific approaches of minutes and optimum possibility), particular nonlinear and direct approaches are covered in information, consisting of probit and logit designs and their multivariate, Tobit designs, designs for count data, causal (or treatment) impacts, censored and missing out on data plans, and period analysis. Econometric Analysis of Cross Section and Panel Data 2e was the very first graduate econometrics book to concentrate on microeconomic data structures, enabling presumptions to be separated into population and tasting presumptions. This 2nd edition has actually been significantly modified and upgraded. Improvements consist of a wider class of designs for missing out on data issues; broadened conversation of “generalized critical variables” (GIV) estimate; more in-depth treatment of cluster issues, an essential subject for empirical scientists; brand-new protection (based upon the author’s own current research study) of inverted likelihood weighting; a more total structure for approximating treatment impacts with panel data, and a strongly developed link in between econometric methods to nonlinear panel data and the “generalized approximating formula” literature popular in data and other fields. New attention is offered to describing when specific econometric approaches can be used; the objective is not only to inform trainees what does work however why specific “apparent” treatments do not. The many consisted of workouts, both theoretical and computer system- based, enable the trainees to extend approaches covered in the book and find brand-new insights. NOTE: This item only consists of the ebook Econometric Analysis of Cross Section and Panel Data, 2nd edition inPDF No access codes consisted of.

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