Large-dimensional Panel Data Econometrics: Testing, Estimation And Structural Changes, Chihwa Kao, Feng Qu
Автор: Marc Nerlove Название: Essays in Panel Data Econometrics ISBN: 0521815347 ISBN-13(EAN): 9780521815345 Издательство: Cambridge Academ Рейтинг: Цена: 12830.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume collects seven of Marc Nerlove`s previously published, classic essays on panel data econometrics, and a cogent essay on the history of the subject. The essays illustrate both the role of the substantive context in shaping appropriate methods of inference and the increasing importance of computer-intensive methods.
Автор: Erik Biorn Название: Econometrics of Panel Data ISBN: 0198753446 ISBN-13(EAN): 9780198753445 Издательство: Oxford Academ Рейтинг: 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.
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.
Автор: Tsionas, Mike Название: Panel Data Econometrics ISBN: 0128143673 ISBN-13(EAN): 9780128143674 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Panel Data Econometrics: Applications is an accessible introduction to econometric modelling using longitudinal datasets for applied researchers, written by leading experts from diverse application environments. The work emphasizes applications fully across econometrics as well as many fields making use of econometric findings - such as banking, financial markets, tourism and transportation, auctions, and experimental economics, where researchers may not have familiarity with techniques. Throughout, contributors seek to emphasize how various techniques can be implemented in these settings. Extensive case studies, empirical exercises and supplementary code in R accompany each chapter, helping researchers easily replicate analyses for their fields. The authors also address panel data analysis in the context of productivity and efficiency analysis where some of the most interesting applications and advancements have been made in recent years.
Provides a vast array of empirical applications useful to practitioners from different application environments
Accompanied by extensive case studies and empirical exercises
Empirical chapters are accompanied by supplementary code in R, helping researchers replicate findings
Accessible for diverse audiences, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts
Автор: Yves Croissant, Givanni Millo Название: Panel Data Econometrics with R ISBN: 1118949161 ISBN-13(EAN): 9781118949160 Издательство: Wiley Рейтинг: Цена: 12347.00 р. 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.
Автор: L?szlo M?ty?s; Patrick Sevestre Название: The Econometrics of Panel Data ISBN: 3662518511 ISBN-13(EAN): 9783662518519 Издательство: Springer Рейтинг: Цена: 48774.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints.
Автор: Tsionas, Mike Название: Panel Data Econometrics II ISBN: 012815859X ISBN-13(EAN): 9780128158593 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Panel Data Econometrics: Applications is an accessible introduction to econometric modelling using longitudinal datasets for applied researchers, written by leading experts from diverse application environments. The work emphasizes applications fully across econometrics as well as many fields making use of econometric findings - such as banking, financial markets, tourism and transportation, auctions, and experimental economics, where researchers may not have familiarity with techniques. Throughout, contributors seek to emphasize how various techniques can be implemented in these settings. Extensive case studies, empirical exercises and supplementary code in R accompany each chapter, helping researchers easily replicate analyses for their fields. The authors also address panel data analysis in the context of productivity and efficiency analysis where some of the most interesting applications and advancements have been made in recent years.
Provides a vast array of empirical applications useful to practitioners from different application environments
Accompanied by extensive case studies and empirical exercises
Empirical chapters are accompanied by supplementary code in R, helping researchers replicate findings
Accessible for diverse audiences, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts
Автор: Nicholas Tsounis; Aspasia Vlachvei Название: Advances in Panel Data Analysis in Applied Economic Research ISBN: 3030099296 ISBN-13(EAN): 9783030099299 Издательство: Springer Рейтинг: Цена: 20962.00 р. 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. Featuring papers presented at the 2017 International Conference on Applied Economics (ICOAE) held at Coventry University, this volume provides current research on econometric panel data methodologies as they are applied in microeconomics, macroeconomics, financial economics and agricultural economics.
International Conference on Applied Economics (ICOAE) is an annual conference that started in 2008 designed to bring together economists from different fields of applied economic research in order to share methods and ideas. Applied economics is a rapidly growing field of economics that combines economic theory with econometrics to analyse economic problems of the real world usually with economic policy interest. In addition, there is growing interest in the field for panel data estimation methods, tests and techniques. This volume makes a contribution in the field of applied economic research in this area. Featuring country specific studies, this book will be of interest to academics, students, researchers, practitioners, and policy makers in applied economics and economic policy.
Описание: This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software.The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.
Автор: Hsiao, Cheng, Название: Analysis of Panel Data ISBN: 1107657636 ISBN-13(EAN): 9781107657632 Издательство: Cambridge Academ Рейтинг: 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.
Автор: Sul Название: Panel Data Econometrics ISBN: 1138389676 ISBN-13(EAN): 9781138389670 Издательство: Taylor&Francis Рейтинг: Цена: 7195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In the last 20 years, econometric theory on panel data has developed rapidly, particularly for analyzing common behaviors among individuals over time. Meanwhile the statistical methods employed by researchers have not kept up-to-date. This book attempts to fill this gap, teaching researchers how to use the latest panel estimation methods correctly.
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.
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