Econometric Analysis of Count Data, Rainer Winkelmann
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: 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: 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: 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: 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: 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: Enders Walter Название: Applied Econometric Time Series ISBN: 1118808568 ISBN-13(EAN): 9781118808566 Издательство: Wiley Рейтинг: Цена: 39723.00 р. Наличие на складе: Поставка под заказ.
Описание: Applied Econometric Time Series, 4th Edition demonstrates modern techniques for developing models capable of forecasting, interpreting, and testing hypotheses concerning economic data. In this text, Dr.
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: 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: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A rigorous but accessible foundation to modern data analysis and econometric practice. Contains many examples and exercises and data from developing countries which is available for immediate use on a free floppy disk.
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: 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: Graham, Bryan Название: The Econometric Analysis of Network Data ISBN: 0128117710 ISBN-13(EAN): 9780128117712 Издательство: Elsevier Science Рейтинг: Цена: 9262.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The Econometric Analysis of Network Data serves as an entry point for advanced students, researchers, and data scientists seeking to perform effective analyses of networks, especially inference problems. It introduces the key results and ideas in an accessible, yet rigorous way, confining formal proofs to extensively annotated appendices. While a multi-contributor reference, the work is tightly focused and disciplined, providing latitude for varied specialties in one authorial voice. Each of the six contributions includes worked examples, describes relevant computational tools, provides a number of illustrative examples, and is supported by a companion site code repository.
Answers both 'why' and 'how' questions in network analysis
Describes multiple worked examples from the literature and beyond, allowing empirical researchers and data scientists to quickly access the 'state-of-the-art'
Fully supported by a companion site code repository that details simulations and representative empirical applications in Python, MATLAB, C++
Includes 40+ diagrams of 'networks in the wild' that help visually summarize key points
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