Econometric Analysis PIE 6 ed, Greene

Автор: Greene William
Название: Econometric Analysis, 7 ed.
ISBN: 0273753568 ISBN-13(EAN): 9780273753568
Издательство: Pearson Education
Цена: 12670.00 р.
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Автор: William Greene
Название: Econometric Analysis 5th ed
ISBN: 0131108492 ISBN-13(EAN): 9780131108493
Издательство: Pearson Education
Цена: 3762.00 р.
Наличие на складе: Невозможна поставка.
Описание: Key Features of ECONOMETRIC ANALYSIS, Fifth Edition: *Major reorganization of material. The entire text has been reconstructed to help students' understanding of the material. *Applied orientation. Students learn how to do econometrics. *Balanced coverage of topics. Includes Classical, Bayesian, GMM, maximum likelihood, cross section, and more time series and panel data. *Applications and numerical examples. Detailed solutions to applications that show students how to do the computations. *Attention to both linear and nonlinear techniques. Software has made nonlinear estimation easy, inclusion of this information is now available. *Students who purchase the text can visit www prenhall.com/greene to download the most current LIMDEP software and data sets.

Автор: William Greene
Название: Econometric Analysis, Edition 6
ISBN: 0135132452 ISBN-13(EAN): 9780135132456
Издательство: Pearson Education
Цена: 4431.00 р.
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Описание: For first year graduate courses in econometrics for social scientists. Greene, 6e serves as a bridge between an introduction to the field of econometrics and the professional literature for graduate students in the social sciences, focusing on applied econometrics and theoretical background.

Автор: Angrist, J.d. Pischke, Jorn-steffen
Название: Mostly harmless econometrics
ISBN: 0691120358 ISBN-13(EAN): 9780691120355
Издательство: Wiley
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Цена: 7128.00 р.
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Описание: Shows how the basic tools of applied econometrics allow the data to speak. This book covers regression-discontinuity designs and quantile regression - as well as how to get standard errors right. It is suitable for various areas in contemporary social science.

Автор: Martin
Название: Econometric Modelling with Time Series
ISBN: 0521139813 ISBN-13(EAN): 9780521139816
Издательство: Cambridge Academ
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Цена: 11722.00 р.
Наличие на складе: Ожидается поступление.

Описание: This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation.

Автор: Martin
Название: Econometric Modelling with Time Series
ISBN: 0521196604 ISBN-13(EAN): 9780521196604
Издательство: Cambridge Academ
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Цена: 16474.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a general framework for specifying, estimating and testing time series econometric models. Special emphasis is given to estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments estimation, nonparametric estimation and estimation by simulation.

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 0521279682 ISBN-13(EAN): 9780521279680
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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Описание: The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians, discussing basic to advanced nonparametric methods with applications.

Автор: Wooldridge JM
Название: Econometric analysis of cross section and panel data 2e
ISBN: 0262232588 ISBN-13(EAN): 9780262232586
Издательство: MIT Press
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Цена: 19468.00 р.
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Описание:

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.

Автор: Baltagi, Badi H.
Название: Companion to econometric analysis of panel data
ISBN: 0470744030 ISBN-13(EAN): 9780470744031
Издательство: Wiley
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Цена: 6645.00 р.
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Описание: `Econometric Analysis of Panel Data` has become established as the leading textbook for postgraduate courses in panel data - this book is intended as a companion to the main text.

Автор: Arnold Zellner (Editor)
Название: The Structural Econometric Time Series Analysis Approach
ISBN: 0521187435 ISBN-13(EAN): 9780521187435
Издательство: Cambridge Academ
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Цена: 7443.00 р.
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Описание: This book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making.

Автор: Brooks
Название: Introductory Econometrics for Finance
ISBN: 1107661455 ISBN-13(EAN): 9781107661455
Издательство: Cambridge Academ
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Цена: 7918.00 р.
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Описание: This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.

Автор: Verbeek M
Название: A Guide to Modern Econometrics
ISBN: 1119951674 ISBN-13(EAN): 9781119951674
Издательство: Wiley
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Цена: 7918.00 р.
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Описание: This highly successful text serves as a guide to alternative techniques in econometrics with an emphasis on the practical application of these approaches. The 4th Edition features: Coverage of a wide range of topics, including time series analysis, cointegration, limited dependent variables, panel data analysis and the generalized method of moments. Intuitive presentation and discussion, with a focus on implementation and practical relevance. A large number of empirical illustrations taken from a wide variety of fields, including international economics, finance, labour economics and macroeconomics. Increased focus on robust inference and small sample properties. End-of-chapter exercises, both theoretical and empirical, reviewing key concepts. Updated and expanded coverage, on various topics such as missing data, outliers, forecast evaluation, the estimation of treatment effects and panel unit root tests. Supplementary material, including PowerPoint slides for lecturers, data sets of the empirical illustrations and exercises, and solutions to selected exercises in each chapter, available at www.wileyeurope.com/college/verbeek

Автор: Baltagi
Название: Econometric Analysis of Panel Data 4e
ISBN: 0470518863 ISBN-13(EAN): 9780470518861
Издательство: Wiley
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Цена: 7205.00 р.
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Описание: "This is a definitive book written by one of the architects of modern panel data econometrics. It provides both a practical introduction to the subject matter, as well as a thorough discussion of the underlying statistical principles without taxing the reader too greatly.

Автор: Winkelmann, Rainer
Название: Econometric analysis of count data
ISBN: 3540776486 ISBN-13(EAN): 9783540776482
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The book provides an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Alternative models address unobserved heterogeneity, state dependence, selectivity, endogeneity, underreporting, and clustered sampling.