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.
Автор: Cheng Hsiao Название: Analysis of Panel Data ISBN: 1009060759 ISBN-13(EAN): 9781009060752 Издательство: Cambridge Academ Рейтинг: Цена: 6494.00 р. 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.
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.
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: Nicholas Tsounis; Aspasia Vlachvei Название: Advances in Panel Data Analysis in Applied Economic Research ISBN: 3319700545 ISBN-13(EAN): 9783319700540 Издательство: Springer Рейтинг: Цена: 27950.00 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.
Автор: Baltagi, Badi H. Название: Companion to econometric analysis of panel data ISBN: 0470744030 ISBN-13(EAN): 9780470744031 Издательство: Wiley Рейтинг: Цена: 6645.00 р. 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.
Автор: Baldev Raj; Badi H. Baltagi Название: Panel Data Analysis ISBN: 364250129X ISBN-13(EAN): 9783642501296 Издательство: Springer Рейтинг: Цена: 13974.00 р. 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.
Автор: Wooldridge JM Название: Econometric analysis of cross section and panel data 2e ISBN: 0262232588 ISBN-13(EAN): 9780262232586 Издательство: MIT Press Рейтинг: Цена: 19468.00 р. 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: 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: 8384.00 р. 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.
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: Beenstock, Michael, Felsenstein, Daniel Название: The Econometric Analysis of Non-Stationary Spatial Panel Data ISBN: 3030036138 ISBN-13(EAN): 9783030036133 Издательство: Springer Рейтинг: Цена: 13974.00 р. 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.
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.
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