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Advances in Panel Data Analysis in Applied Economic Research, Nicholas Tsounis; Aspasia Vlachvei


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Автор: Nicholas Tsounis; Aspasia Vlachvei
Название:  Advances in Panel Data Analysis in Applied Economic Research
ISBN: 9783319700540
Издательство: Springer
Классификация:



ISBN-10: 3319700545
Обложка/Формат: Hardcover
Вес: 1.24 кг.
Дата издания: 18.04.2018
Серия: Springer Proceedings in Business and Economics
Язык: English
Издание: 1st ed. 2018
Иллюстрации: 84 tables, color; 84 illustrations, color; 39 illustrations, black and white; approx. 640 p. 123 illus., 84 illus. in color.
Размер: 234 x 156 x 38
Читательская аудитория: Postgraduate, research & scholarly
Основная тема: Economics
Подзаголовок: 2017 International Conference on Applied Economics (ICOAE)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This proceedings volume presents new methods and applications in applied economic research with an emphasis on advances in panel data analysis.


Econometric Analysis of Panel Data 4e

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.
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.

Companion to econometric analysis of panel data

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.

The Econometrics of Panel Data: Handbook of Theory and Applications

Автор: Laszlo Matyas
Название: The Econometrics of Panel Data: Handbook of Theory and Applications
ISBN: 9401066558 ISBN-13(EAN): 9789401066556
Издательство: Springer
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Цена: 12157.00 р.
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Описание: The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Part II deals with nonlinear models and related issues: logit and probit models, latent variable models, incomplete panels and selectivity bias, and point processes.

Panel Data

Автор: Badi H. Baltagi
Название: Panel Data
ISBN: 3790824550 ISBN-13(EAN): 9783790824551
Издательство: Springer
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Цена: 23058.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides a clear and persuasive introduction to the Austrian School of economics and its major figures, such as Ludwig von Mises and F.A. Hayek. In so doing it demonstrates that the economic crisis of 2008 was not inevitable, and shows why the Austrian view - emphasizing individual human action and markets free from government intrusion - offers the surest path back to peace and prosperity.

Applied Panel Data Analysis for Economic and Social Surveys

Автор: Hans-J?rgen Andre?; Katrin Golsch; Alexander W. Sc
Название: Applied Panel Data Analysis for Economic and Social Surveys
ISBN: 3642434177 ISBN-13(EAN): 9783642434174
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Useful for researchers using such household panel studies as GSOEP, BHPS or PSID, this book discusses methods of managing and analyzing panel data. Supplemental data sets and syntax files are provided via the book`s website.

Analysis of Panel Data

Автор: Hsiao, Cheng,
Название: Analysis of Panel Data
ISBN: 1107657636 ISBN-13(EAN): 9781107657632
Издательство: Cambridge Academ
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Цена: 5859.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book provides a comprehensive, coherent, and intuitive review of panel data methodologies that are useful for empirical analysis. Substantially revised from the second edition, it includes two new chapters on modeling cross-sectionally dependent data and dynamic systems of equations. Some of the more complicated concepts have been further streamlined. Other new material includes correlated random coefficient models, pseudo-panels, duration and count data models, quantile analysis, and alternative approaches for controlling the impact of unobserved heterogeneity in nonlinear panel data models.

Panel Data Analysis

Автор: Baldev Raj; Badi H. Baltagi
Название: Panel Data Analysis
ISBN: 364250129X ISBN-13(EAN): 9783642501296
Издательство: Springer
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Цена: 13974.00 р.
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Описание: A number of advances have taken place in panel data analysisduring the pastthree decades and it continues to be one ofthe most active areas of research.

Econometric analysis of cross section and panel data 2e

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.

Econometrics of Panel Data

Автор: Erik Biorn
Название: Econometrics of Panel Data
ISBN: 0198753446 ISBN-13(EAN): 9780198753445
Издательство: Oxford Academ
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Цена: 14256.00 р.
Наличие на складе: Поставка под заказ.

Описание: A graduate text on panel data that takes the reader gradually from simple models and methods in scalar (simple vector) notation to more complex models in matrix notation.

The Econometrics of Panel Data

Автор: L?szlo M?ty?s; Patrick Sevestre
Название: The Econometrics of Panel Data
ISBN: 3662518511 ISBN-13(EAN): 9783662518519
Издательство: Springer
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Цена: 48774.00 р.
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Описание: This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints.

The Econometrics of Panel Data

Автор: L?szl? M?ty?s; Patrick Sevestre
Название: The Econometrics of Panel Data
ISBN: 9401065489 ISBN-13(EAN): 9789401065481
Издательство: Springer
Рейтинг:
Цена: 12157.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Part II deals with nonlinear models and related issues: logit and pro bit models, latent variable models, duration and count data models, incomplete panels and selectivity bias, point processes, and simulation techniques.


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