Advanced Econometrics Wooldridge


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Econometric Analysis of Cross Section and Panel Data, second edition


Econometric Analysis of Cross Section and Panel Data, second edition

Author: Jeffrey M. Wooldridge

language: en

Publisher: MIT Press

Release Date: 2010-10-01


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The second edition of a comprehensive state-of-the-art graduate level text on microeconometric methods, substantially revised and updated. The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), 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. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; 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 readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

Higher Education: Handbook of Theory and Research


Higher Education: Handbook of Theory and Research

Author: John C. Smart

language: en

Publisher: Springer Science & Business Media

Release Date: 2011-03-24


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Published annually since 1985, the Handbook series provides a compendium of thorough and integrative literature reviews on a diverse array of topics of interest to the higher education scholarly and policy communities. Each chapter provides a comprehensive review of research findings on a selected topic, critiques the research literature in terms of its conceptual and methodological rigor, and sets forth an agenda for future research intended to advance knowledge on the chosen topic. The Handbook focuses on twelve general areas that encompass the salient dimensions of scholarly and policy inquiries undertaken in the international higher education community. The series is fortunate to have attracted annual contributions from distinguished scholars throughout the world.

Econometrics


Econometrics

Author: Badi H. Baltagi

language: en

Publisher: Springer Science & Business Media

Release Date: 2007-12-03


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Here at last is the fourth edition of the textbook that is required reading for economics students as well as those practising applied economics. Not only does it teach some of the basic econometric methods and the underlying assumptions behind them, but it also includes a simple and concise treatment of more advanced topics from spatial correlation to time series analysis. This book’s strength lies in its ability to present complex material in a simple, yet rigorous manner. This superb fourth edition updates identification and estimation methods in the simultaneous equation model. It also reviews the problem of weak instrumental variables as well as updating panel data methods.