Econometric Analysis of Cross Section and Panel Data

Author: Jeffrey M Wooldridge
Publisher: MIT Press
ISBN: 0262232588
Format: PDF, ePub
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Introduction -- Conditional expectations and related concepts in econometrics -- Basic asymptotic theory -- Single-equation linear model and ordinary least squares estimation -- Instrumental variables estimation of single-equation linear models -- Additional single-equation topics -- Estimating systems of equations by ordinary least squares and generalized least squares -- System estimation by instrumental variables -- Simultaneous equations models -- Basic linear unobserved effects panel data models -- More topics in linear unobserved effects models -- M-estimation, nonlinear regression, and quantile regression -- Maximum likelihood methods -- Generalized method of moments and minimum distance estimation -- Binary response models -- Multinomial and ordered response models -- Corner solution responses -- Count, fractional, and other nonnegative responses -- Censored data, sample selection, and attrition -- Stratified sampling and cluster sampling -- Estimating average treatment effects -- Duration analysis.

Panel Data Econometrics

Author: Manuel Arellano
Publisher: Oxford University Press
ISBN: 0199245282
Format: PDF, ePub, Mobi
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Written by one of the world's leading experts on dynamic panel data reviews, this volume reviews most of the important topics in the subject. It deals with static models, dynamic models, discrete choice and related models.

Introductory Econometrics A Modern Approach

Author: Jeffrey M. Wooldridge
Publisher: Cengage Learning
ISBN: 1305446380
Format: PDF, Mobi
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Discover how empirical researchers today actually think about and apply econometric methods with the practical, professional approach in Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Unlike traditional books, this unique presentation demonstrates how econometrics has moved beyond just a set of abstract tools to become genuinely useful for answering questions in business, policy evaluation, and forecasting environments. INTRODUCTORY ECONOMETRICS is organized around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with timely, relevant applications, the book introduces the latest emerging developments in the field. Gain a full understanding of the impact of econometrics in real practice today with the insights and applications found only in INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 6E. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

The Econometric Analysis of Transition Data

Author: Tony Lancaster
Publisher: Cambridge University Press
ISBN: 9780521437899
Format: PDF, Kindle
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This book presents statistical methods for analysis of the duration of events. The primary focus is on models for single-spell data, events in which individual agents are observed for a single duration. Some attention is also given to multiple-spell data. The first part of the book covers model specification, including both structural and reduced form models and models with and without neglected heterogeneity. The book next deals with likelihood based inference about such models, with sections on full and semiparametric specification. A final section treats graphical and numerical methods of specification testing. This is the first published exposition of current econometric methods for the study of duration data.

An Introduction to Econometrics

Author: Frank Westhoff
Publisher: MIT Press (MA)
ISBN: 9780262019224
Format: PDF, ePub, Mobi
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This unique introduction to econometrics provides undergraduate students with a command of regression analysis in one semester, enabling them to grasp the empirical literature and undertake serious quantitative projects of their own. It does not assume any previous exposure to probability and statistics but does discuss the concepts in these areas that are essential for econometrics. The bulk of the textbook is devoted to regression analysis, from simple to advanced topics. Students will gain an intuitive understanding of the mathematical concepts; Java applet simulations on the book's website demonstrate how the algebraic equations are derived in the text and are designed to reinforce the important concepts. After presenting the essentials of probability and statistics, the book covers simple regression analysis, multiple regression analysis, and advanced topics including heteroskedasticity, autocorrelation, large sample properties, instrumental variables, measurement error, omitted variables, panel data, simultaneous equations, and binary/truncated dependent variables. Two optional chapters treat additional probability and statistics topics. Each chapter offers examples, prep problems (bringing students "up to speed" at the beginning of a chapter), review questions, and exercises. An accompanying website offers students easy access to Java simulations and data sets (available in EViews, Stata, and Excel files). After a single semester spent mastering the material presented in this book, students will be prepared to take any of the many elective courses that use econometric techniques. • Requires no background in probability and statistics• Regression analysis focus• "Econometrics lab" with Java applet simulations on accompanying Website

Econometric Analysis of Panel Data

Author: Badi Baltagi
Publisher: John Wiley & Sons
ISBN: 0470518863
Format: PDF, ePub, Docs
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Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading textbook for postgraduate courses in panel data. This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation and testing procedures described in the book. These programs will be made available via an accompanying website which will also contain solutions to end of chapter exercises that will appear in the book. The text has been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.

Applied Panel Data Analysis for Economic and Social Surveys

Author: Hans-Jürgen Andreß
Publisher: Springer Science & Business Media
ISBN: 3642329144
Format: PDF, ePub, Mobi
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Many economic and social surveys are designed as panel studies, which provide important data for describing social changes and testing causal relations between social phenomena. This textbook shows how to manage, describe, and model these kinds of data. It presents models for continuous and categorical dependent variables, focusing either on the level of these variables at different points in time or on their change over time. It covers fixed and random effects models, models for change scores and event history models. All statistical methods are explained in an application-centered style using research examples from scholarly journals, which can be replicated by the reader through data provided on the accompanying website. As all models are compared to each other, it provides valuable assistance with choosing the right model in applied research. The textbook is directed at master and doctoral students as well as applied researchers in the social sciences, psychology, business administration and economics. Readers should be familiar with linear regression and have a good understanding of ordinary least squares estimation. ​

Econometric Theory and Practice

Author: P. C. B. Phillips
Publisher: Cambridge University Press
ISBN: 9780521807234
Format: PDF
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These essays explore state-of-the-art theoretical and applied advances in econometrics.

Econometrics

Author: Fumio Hayashi
Publisher: Princeton University Press
ISBN: 1400823838
Format: PDF, Mobi
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Hayashi's Econometrics promises to be the next great synthesis of modern econometrics. It introduces first year Ph.D. students to standard graduate econometrics material from a modern perspective. It covers all the standard material necessary for understanding the principal techniques of econometrics from ordinary least squares through cointegration. The book is also distinctive in developing both time-series and cross-section analysis fully, giving the reader a unified framework for understanding and integrating results. Econometrics has many useful features and covers all the important topics in econometrics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments). Maximum likelihood estimators for a variety of models (such as probit and tobit) are collected in a separate chapter. This arrangement enables students to learn various estimation techniques in an efficient manner. Eight of the ten chapters include a serious empirical application drawn from labor economics, industrial organization, domestic and international finance, and macroeconomics. These empirical exercises at the end of each chapter provide students a hands-on experience applying the techniques covered in the chapter. The exposition is rigorous yet accessible to students who have a working knowledge of very basic linear algebra and probability theory. All the results are stated as propositions, so that students can see the points of the discussion and also the conditions under which those results hold. Most propositions are proved in the text. For those who intend to write a thesis on applied topics, the empirical applications of the book are a good way to learn how to conduct empirical research. For the theoretically inclined, the no-compromise treatment of the basic techniques is a good preparation for more advanced theory courses.