The Structural Econometric Time Series Analysis Approach, Arnold Zellner (Editor)
Автор: Martin Название: Econometric Modelling with Time Series ISBN: 0521139813 ISBN-13(EAN): 9780521139816 Издательство: Cambridge Academ Рейтинг: Цена: 78150.00 T 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 Рейтинг: Цена: 109830.00 T 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: Baltagi Badi H Название: Econometric Analysis of Panel Data ISBN: 1118672321 ISBN-13(EAN): 9781118672327 Издательство: Wiley Рейтинг: Цена: 53850.00 T Наличие на складе: Невозможна поставка. Описание: Panel data econometrics has evolved rapidly over the last decade. Micro and Macro panels are increasing in numbers and availability and methods to deal with these data are in high demand from practitioners.
Название: The Econometric Modelling of Financial Time Series ISBN: 0521624924 ISBN-13(EAN): 9780521624923 Издательство: Cambridge Academ Рейтинг: Цена: 28500.00 T Наличие на складе: Невозможна поставка. Описание: Substantially revised and updated second edition of Terry Mills' best-selling graduate textbook The Econometric Modelling of Financial Time Series. The book provides detailed coverage of the variety of models that are currently being used in the empiric
Автор: Terence C. Mills Название: The Econometric Modelling of Financial Time Series ISBN: 0521883814 ISBN-13(EAN): 9780521883818 Издательство: Cambridge Academ Цена: 70750.00 T Наличие на складе: Невозможна поставка. Описание: A unique, self-contained introduction to nonequilibrium many-body theory, with a focus on the time-dependent aspect. Topics range from basic quantum mechanics to nonequilibrium Green`s function formalisms, and with full derivations of every result and an abundance of illustrative examples, this accessible book is ideal for graduate students and researchers alike.
Автор: Terence C. Mills Название: The Econometric Modelling of Financial Time Series ISBN: 052171009X ISBN-13(EAN): 9780521710091 Издательство: Cambridge Academ Рейтинг: Цена: 49630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This best-selling graduate textbook provides detailed coverage of the latest research techniques and findings relating to the empirical analysis of financial markets. This third edition contains a wealth of material reflecting the developments of the last decade, including a new chapter on nonlinearity and its testing.
Автор: Enders Walter Название: Applied Econometric Time Series ISBN: 1118808568 ISBN-13(EAN): 9781118808566 Издательство: Wiley Рейтинг: Цена: 264820.00 T Наличие на складе: Поставка под заказ. Описание: Applied Econometric Time Series, 4th Edition demonstrates modern techniques for developing models capable of forecasting, interpreting, and testing hypotheses concerning economic data. In this text, Dr.
Автор: Walter Enders Название: Applied Econometric Time Series, Second Edition ISBN: 0471230650 ISBN-13(EAN): 9780471230656 Издательство: Wiley Цена: 39020.00 T Наличие на складе: Невозможна поставка. Описание: Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. The first edition of Applied Econometric Time Series was among those chosen. This new edition reflects recent advances in time--series econometrics, such as out--of--sample forecasting techniques, non--linear time--series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate various techniques.
Автор: H?bler Название: Modern Econometric Analysis ISBN: 3540326928 ISBN-13(EAN): 9783540326922 Издательство: Springer Рейтинг: Цена: 135090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In this book leading German econometricians in different fields present survey articles of the most important new methods in econometrics. The book gives an overview of the field and it shows progress made in recent years and remaining problems.
Автор: Wooldridge JM Название: Econometric analysis of cross section and panel data 2e ISBN: 0262232588 ISBN-13(EAN): 9780262232586 Издательство: MIT Press Рейтинг: Цена: 129790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Wooldridge, Jeffrey M. Название: Econometric Analysis of Cross Section and Panel Data ISBN: 0262232332 ISBN-13(EAN): 9780262232333 Издательство: Wiley Рейтинг: Цена: 21070.00 T Наличие на складе: Невозможна поставка. Описание: This is the companion volume to Jeffrey Wooldridge`s textbook "Econometric Analysis of Cross Section and Panel Data". This manual contains answers to selected problems, new examples and supplementary materials designed by the author.
Автор: Baltagi Название: Econometric Analysis of Panel Data 4e ISBN: 0470518863 ISBN-13(EAN): 9780470518861 Издательство: Wiley Рейтинг: Цена: 48030.00 T Наличие на складе: Поставка под заказ. 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.
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