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

Download Econometric Analysis of Cross Section and Panel Data (2nd Edition) written by Jeffrey M. Wooldridge in PDF format. This book is under the category Economics and bearing the isbn/isbn13 number 262232588/9780262232586. You may reffer the table below for additional details of the book.


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Jeffrey M. Wooldridge


The MIT Press; 2nd edition




1096 pages









Book Description

Wooldridge’s Econometric Analysis of Cross Section and Panel Data 2nd edition (PDF), which is a highly regarded graduate textbook, offers a unified treatment of two methods that are used in contemporary econometric research: data panel and cross-section methods. These methods are used to analyze panels of data. An adequate amount of rigor is maintained throughout the ebook by centering attention on assumptions that can be endowed with behavioral content. This helps the ebook place an emphasis on intuitive thinking. The study takes into account nonlinear as well as linear models, as well as those that take into account dynamics and/or individual heterogeneity. In addition to general estimation frameworks (specific methods of moments and maximum likelihood), specific nonlinear and linear methods are covered in detail. These methods include probit and logit models and their multivariate forms, Tobit models, models for count data, models for causal (or treatment) effects, censored and missing data schemes, and duration analysis. General estimation frameworks are also covered in detail.

Analysis of Cross-Sectional and Panel Data Using Econometric Methods The second edition was the first graduate-level econometrics textbook to place an emphasis on microeconomic data structures. This edition also introduced the concept of separating assumptions into population and sample categories. This second edition has seen significant updates and revisions since the first. An expanded discussion of “generalized instrumental variables” (GIV) estimation; a 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 non-normal distributions are some of the improvements that have been made. Students are not only told what does work, but also why some “obvious” processes do not work. This new emphasis on describing when specific econometric approaches can be employed is part of an effort to meet the goal of not only telling students what does work, but also why. Students are given the opportunity to develop their understanding of the material presented in the textbook through the completion of a variety of activities, both theoretical and computer-based in nature.

NOTE: This product only includes the PDF version of the ebook titled “Econometric Analysis of Cross Section and Panel Data, Second Edition.” There are no access codes provided.


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