Econometric Analysis of Cross Section and Panel Data, Wooldridge, Jeffrey M.
Новое издание
Автор: Wooldridge JM Название: Econometric analysis of cross section and panel data 2e ISBN: 0262232588 ISBN-13(EAN): 9780262232586 Издательство: MIT Press Цена: 15119 р. Наличие на складе: Есть у поставщикаПоставка под заказ. Описание: Provides information on two methods used in contemporary econometric research, cross section and data panel methods. Focusing on assumptions that can be given behavioral content, this book covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity.
Автор: Wooldridge, Jeffrey M. Название: Econometric Analysis of Cross Section and Panel Data ISBN: 0262232332 ISBN-13(EAN): 9780262232333 Издательство: Wiley Рейтинг: Цена: 3621 р. 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: Wooldridge JM Название: Econometric analysis of cross section and panel data 2e ISBN: 0262232588 ISBN-13(EAN): 9780262232586 Издательство: MIT Press Рейтинг: Цена: 15119 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides information on two methods used in contemporary econometric research, cross section and data panel methods. Focusing on assumptions that can be given behavioral content, this book covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity.
Описание: Provides guidance in key areas of econometrics. This book covers developments in theoretical econometrics, including essays on methodology and history of econometrics, developments in time-series and cross-section econometrics, modelling with integrated variables, Bayesian econometrics, simulation methods and a selection of special topics.
Автор: Baltagi Название: Econometric Analysis of Panel Data 4e ISBN: 0470518863 ISBN-13(EAN): 9780470518861 Издательство: Wiley Рейтинг: Цена: 7621 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.
Описание: This important book consists of surveys of high-frequency financial data analysis and econometric forecasting, written by pioneers in these areas including
Nobel laureate Lawrence Klein. Some of the chapters were presented as tutorials to an audience in the Econometric Forecasting and High-Frequency Data Analysis Workshop at the
Institute for Mathematical Science, National University of Singapore in May 2006. They will be of interest to researchers working in macroeconometrics as well as financial
econometrics.
Moreover, readers will find these chapters useful as a guide to the literature as well as suggestions for future research.
Автор: Baltagi Badi H Название: Econometric Analysis of Panel Data ISBN: 1118672321 ISBN-13(EAN): 9781118672327 Издательство: Wiley Рейтинг: Цена: 9255 р. 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.
Автор: Baltagi, Badi H. Название: Companion to econometric analysis of panel data ISBN: 0470744030 ISBN-13(EAN): 9780470744031 Издательство: Wiley Рейтинг: Цена: 7258 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Guides those studying panel data econometrics by solving exercises in a logical and pedagogical way, helping them understand, learn and apply panel data methods. This book offers background information on partitioned regressions and Frisch-Waugh-Lovell theorem.
Автор: Martin Название: Econometric Modelling with Time Series ISBN: 0521139813 ISBN-13(EAN): 9780521139816 Издательство: Cambridge Academ Рейтинг: Цена: 11748 р. 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, generalized method of moments estimation, nonparametric estimation and estimation by simulation. An important advantage of adopting the principle of maximum likelihood as the unifying framework for the book is that many of the estimators and test statistics proposed in econometrics can be derived within a likelihood framework, thereby providing a coherent vehicle for understanding their properties and interrelationships. In contrast to many existing econometric textbooks, which deal mainly with the theoretical properties of estimators and test statistics through a theorem-proof presentation, this book squarely addresses implementation to provide direct conduits between the theory and applied work.
Автор: Martin Название: Econometric Modelling with Time Series ISBN: 0521196604 ISBN-13(EAN): 9780521196604 Издательство: Cambridge Academ Рейтинг: Цена: 17714 р. 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, generalized method of moments estimation, nonparametric estimation and estimation by simulation. An important advantage of adopting the principle of maximum likelihood as the unifying framework for the book is that many of the estimators and test statistics proposed in econometrics can be derived within a likelihood framework, thereby providing a coherent vehicle for understanding their properties and interrelationships. In contrast to many existing econometric textbooks, which deal mainly with the theoretical properties of estimators and test statistics through a theorem-proof presentation, this book squarely addresses implementation to provide direct conduits between the theory and applied work.
Автор: Mukherjee, Chandan Etc. White, Howard Wuyts, Mark Название: Econometrics and data analysis for developing countries ISBN: 0415094003 ISBN-13(EAN): 9780415094009 Издательство: Taylor&Francis Рейтинг: Цена: 10344 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Getting accurate data on less developed countries has created great problems for studying these areas. Yet until recently students of development economics have relied on standard econometrics texts, which assume a Western context. This text intends to address this problem.
Автор: Arellano, Manuel Название: Panel Data Econometrics ISBN: 0199245282 ISBN-13(EAN): 9780199245284 Издательство: Oxford Academ Рейтинг: Цена: 23953 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written by one of a leading expert on dynamic panel data reviews, this volume reviews most of the important topics in the subject. It deals with static models, dynamic models, discrete choice and related models.
Автор: Marc Nerlove Название: Essays in Panel Data Econometrics ISBN: 0521815347 ISBN-13(EAN): 9780521815345 Издательство: Cambridge Academ Рейтинг: Цена: 17716 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume collects seven of Nerlove's previously published essays on panel data econometrics written over the past thirty-five years, with a new essay on the history of the subject, which began with George Biddell Airey's monograph in 1861. Since his 1966 Econometrica paper with Pietro Balestra, panel data and methods of econometric analysis have become important in the discipline. The principal factors in the research environment affecting the future course of panel data econometrics are the growth in the computational power available to the individual researcher at his desktop and the ready availability of data sets via the Internet. The best way to formulate statistical models for inference is motivated and shaped by substantive problems and our understanding of the processes generating the data at hand to resolve them. The essays illustrate the substantive context in shaping appropriate methods of inference and the increasing importance of computer-intensive methods.
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