Modern Econometric Analysis, Olaf H?bler; Joachim Frohn
Автор: Martin Название: Econometric Modelling with Time Series ISBN: 0521139813 ISBN-13(EAN): 9780521139816 Издательство: Cambridge Academ Рейтинг: Цена: 11722.00 р. Наличие на складе: Ожидается поступление.
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, generalised method of moments estimation, nonparametric estimation and estimation by simulation.
Автор: Henderson Название: Applied Nonparametric Econometrics ISBN: 0521279682 ISBN-13(EAN): 9780521279680 Издательство: Cambridge Academ Рейтинг: Цена: 6653.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The majority of empirical research in economics ignores the potential benefits of nonparametric methods, while the majority of advances in nonparametric theory ignore the problems faced in applied econometrics. This book helps bridge this gap between applied economists and theoretical nonparametric econometricians, discussing basic to advanced nonparametric methods with applications.
Автор: Baltagi Название: Econometric Analysis of Panel Data 4e ISBN: 0470518863 ISBN-13(EAN): 9780470518861 Издательство: Wiley Рейтинг: 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.
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: Arnold Zellner (Editor) Название: The Structural Econometric Time Series Analysis Approach ISBN: 0521187435 ISBN-13(EAN): 9780521187435 Издательство: Cambridge Academ Рейтинг: Цена: 7443.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book assembles previously published texts in the theory and application of the Structural Econometric Time Series Analysis (SEMTSA) approach. It provides a discussion of major considerations relating to the construction of econometric models that work well to explain economic phenomena, predict future outcomes and be useful for policy-making.
Автор: Dougherty Christopher Название: Introduction to Econometrics, 5 ed. ISBN: 0199676828 ISBN-13(EAN): 9780199676828 Издательство: Oxford Academ Рейтинг: Цена: 12037.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combining the rigour of econometric theory with an accessible style, Dougherty`s step by step explanations and relevant practical exercises ensure students develop an intuitive understanding of econometrics, and gain hands-on experience of the tools used in economic and financial forecasting.
Автор: Winkelmann, Rainer Название: Econometric analysis of count data ISBN: 3540776486 ISBN-13(EAN): 9783540776482 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book provides an up-to-date survey of statistical and econometric techniques for the analysis of count data, with a focus on conditional distribution models. Alternative models address unobserved heterogeneity, state dependence, selectivity, endogeneity, underreporting, and clustered sampling.
Автор: Brooks Название: Introductory Econometrics for Finance ISBN: 1107661455 ISBN-13(EAN): 9781107661455 Издательство: Cambridge Academ Рейтинг: Цена: 7918.00 р. Наличие на складе: Поставка под заказ.
Описание: This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.
Автор: Verbeek M Название: A Guide to Modern Econometrics ISBN: 1119951674 ISBN-13(EAN): 9781119951674 Издательство: Wiley Рейтинг: Цена: 7918.00 р. Наличие на складе: Поставка под заказ.
Описание: This highly successful text serves as a guide to alternative techniques in econometrics with an emphasis on the practical application of these approaches. The 4th Edition features: Coverage of a wide range of topics, including time series analysis, cointegration, limited dependent variables, panel data analysis and the generalized method of moments. Intuitive presentation and discussion, with a focus on implementation and practical relevance. A large number of empirical illustrations taken from a wide variety of fields, including international economics, finance, labour economics and macroeconomics. Increased focus on robust inference and small sample properties. End-of-chapter exercises, both theoretical and empirical, reviewing key concepts. Updated and expanded coverage, on various topics such as missing data, outliers, forecast evaluation, the estimation of treatment effects and panel unit root tests. Supplementary material, including PowerPoint slides for lecturers, data sets of the empirical illustrations and exercises, and solutions to selected exercises in each chapter, available at www.wileyeurope.com/college/verbeek
Автор: Schaeffer & Kouassi Название: Econometric Methods For Analyzing Economic Development ISBN: 1466643293 ISBN-13(EAN): 9781466643291 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Exploring and understanding the analysis of economic development is essential as global economies continue to experience extreme fluctuation. Econometrics brings together statistical methods for practical content and economic relations. <br><br><em>Econometric Methods for Analyzing Economic Development</em> is a comprehensive collection that focuses on various regions and their economies at a pivotal time when the majority of nations are struggling with stabilising their economies. Outlining areas such as employment rates, utilisation of natural resources, and regional impacts, this collection of research is an excellent tool for scholars, academics, and professionals looking to expand their knowledge on today’s turbulent and changing economy.
Автор: H?bler Название: Modern Econometric Analysis ISBN: 3540326928 ISBN-13(EAN): 9783540326922 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In this book leading German econometricians in different fields present survey articles of the most important new methods in econometrics. The book gives an overview of the field and it shows progress made in recent years and remaining problems.
Автор: Martin Название: Econometric Modelling with Time Series ISBN: 0521196604 ISBN-13(EAN): 9780521196604 Издательство: Cambridge Academ Рейтинг: Цена: 16474.00 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, generalised method of moments estimation, nonparametric estimation and estimation by simulation.
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