Econometric Analysis of Cross Section and Panel Data

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


This acclaimed graduate text's second edition provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. The book maintains an appropriate level of rigor while emphasizing intuitive thinking by focusing on assumptions that can be given behavioral content. The analysis includes models with dynamics and/or individual heterogeneity, as well as linear and nonlinear models. Specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis, in addition to general estimation frameworks (particular methods of moments and maximum likelihood).


The first graduate econometrics text, Econometric Analysis of Cross Section and Panel Data, focused on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been updated and revised extensively. Improvements include a broader class of models for missing data problems, a more detailed treatment of cluster problems, an important topic for empirical researchers, an expanded discussion of "generalized instrumental variables" (GIV) estimation, new coverage of inverse probability weighting (based on the author's own recent research), a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to n New emphasis is placed on explaining when specific econometric methods can be used; the goal is not only to tell readers what works, but also why certain "obvious" procedures do not. The numerous exercises included, both theoretical and computer-based, allow the reader to extend methods covered in the text and gain new insights.


Author: Jeffrey M. Wooldridge

Link to buy: https://www.amazon.com/dp/0262232588

Ratings: 4.5 out of 5 stars (from 119 reviews)

Best Sellers Rank: #533,180 in Books

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