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Analysis of Panel Data, Cheng Hsiao


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Цена: 43290.00T
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Автор: Cheng Hsiao
Название:  Analysis of Panel Data
ISBN: 9781009060752
Издательство: Cambridge Academ
Классификация:

ISBN-10: 1009060759
Обложка/Формат: Paperback
Страницы: 500
Вес: 0.90 кг.
Дата издания: 07.07.2022
Серия: Econometric society monographs
Язык: English
Издание: 4 revised edition
Иллюстрации: Worked examples or exercises; worked examples or exercises
Размер: 151 x 228 x 10
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Econometrics,Epidemiology & medical statistics, BUSINESS & ECONOMICS / Econometrics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. It is essential reading for researchers, practitioners and graduate students interested in the analysis of microeconomic behavior.

      Старое издание
Analysis of Panel Data

Автор: Hsiao, Cheng,
Название: Analysis of Panel Data
ISBN: 1107657636 ISBN-13(EAN): 9781107657632
Издательство: Cambridge Academ
Цена: 39060 T
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.


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
Рейтинг:
Цена: 44300.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Panel Data Analysis

Автор: Baldev Raj; Badi H. Baltagi
Название: Panel Data Analysis
ISBN: 364250129X ISBN-13(EAN): 9783642501296
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Advances in Panel Data Analysis in Applied Economic Research

Автор: Nicholas Tsounis; Aspasia Vlachvei
Название: Advances in Panel Data Analysis in Applied Economic Research
ISBN: 3319700545 ISBN-13(EAN): 9783319700540
Издательство: Springer
Рейтинг:
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This proceedings volume presents new methods and applications in applied economic research with an emphasis on advances in panel data analysis.

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
Рейтинг:
Цена: 55890.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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
Рейтинг:
Цена: 39060.00 T
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.

Econometric Analysis of Panel Data 4e

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.

Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications

Автор: Marno Verbeek
Название: Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications
ISBN: 311066013X ISBN-13(EAN): 9783110660135
Издательство: Walter de Gruyter
Рейтинг:
Цена: 52010.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: De Gruyter Studies in the Practice of Econometrics is a new series of books aimed at researchers showing how different econometric techniques can be used in their field focusing on practical relevance. Critical reviews of existing approaches are combined with expert advice.

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
Рейтинг:
Цена: 81050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.

Analysis of Panel Data

Автор: Cheng Hsiao
Название: Analysis of Panel Data
ISBN: 131651210X ISBN-13(EAN): 9781316512104
Издательство: Cambridge Academ
Рейтинг:
Цена: 109830.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. It is essential reading for researchers, practitioners and graduate students interested in the analysis of microeconomic behavior.

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
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.


Panel Data Econometrics with R

Автор: Yves Croissant, Givanni Millo
Название: Panel Data Econometrics with R
ISBN: 1118949161 ISBN-13(EAN): 9781118949160
Издательство: Wiley
Рейтинг:
Цена: 82310.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Panel Data Econometrics with R provides a tutorial for using R in the field of panel data econometrics.

The Econometric Analysis of Non-Stationary Spatial Panel Data

Автор: Beenstock, Michael, Felsenstein, Daniel
Название: The Econometric Analysis of Non-Stationary Spatial Panel Data
ISBN: 3030036138 ISBN-13(EAN): 9783030036133
Издательство: Springer
Рейтинг:
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This monograph deals with spatially dependent non-stationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis.


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