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Primer for Spatial Econometrics, Arbia Giuseppe


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Цена: 12577.00р.
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Автор: Arbia Giuseppe
Название:  Primer for Spatial Econometrics
ISBN: 9781137428165
Издательство: Springer
Классификация:


ISBN-10: 1137428163
Обложка/Формат: Paperback
Страницы: 208
Вес: 0.32 кг.
Дата издания: 27.06.2014
Серия: Palgrave texts in econometrics
Язык: English
Иллюстрации: Xvi, 230 p.
Размер: 140 x 216 x 14
Читательская аудитория: Professional & vocational
Подзаголовок: With applications in r
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.


Mostly harmless econometrics

Автор: Angrist, J.d. Pischke, Jorn-steffen
Название: Mostly harmless econometrics
ISBN: 0691120358 ISBN-13(EAN): 9780691120355
Издательство: Wiley
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Цена: 7128.00 р.
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Описание: Shows how the basic tools of applied econometrics allow the data to speak. This book covers regression-discontinuity designs and quantile regression - as well as how to get standard errors right. It is suitable for various areas in contemporary social science.

Methods for estimation and inference in modern econometrics

Автор: Anatolyev, Stanislav Gospodinov, Nikolay
Название: Methods for estimation and inference in modern econometrics
ISBN: 1439838240 ISBN-13(EAN): 9781439838242
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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Описание:

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such as generalized empirical likelihood estimation and alternative asymptotics under drifting parameterizations, which have not been discussed in detail outside of highly technical research papers. The book also addresses several problems often arising in the analysis of economic data, including weak identification, model misspecification, and possible nonstationarity. The book's appendix provides a review of some basic concepts and results from linear algebra, probability theory, and statistics that are used throughout the book.





Topics covered include:







  • Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical inference


  • Estimation of models based on moment restrictions implied by economic theory, including various method-of-moments estimators for unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models


  • Non-conventional asymptotic tools that lead to improved finite sample inference, such as higher-order asymptotic analysis that allows for more accurate approximations via various asymptotic expansions, and asymptotic approximations based on drifting parameter sequences






Offering a unified approach to studying econometric problems, Methods for Estimation and Inference in Modern Econometrics links most of the existing estimation and inference methods in a general framework to help readers synthesize all aspects of modern econometric theory. Various theoretical exercises and suggested solutions are included to facilitate understanding.

Spatial Econometrics and Spatial Statistics

Автор: Getis
Название: Spatial Econometrics and Spatial Statistics
ISBN: 1403907978 ISBN-13(EAN): 9781403907974
Издательство: Springer
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Цена: 18866.00 р.
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Описание: The field of spatial econometrics has come to include the methods and models that deal with estimation and testing problems encountered when attempting to implement regional economic models.

Introductory Econometrics for Finance

Автор: Brooks
Название: Introductory Econometrics for Finance
ISBN: 1107661455 ISBN-13(EAN): 9781107661455
Издательство: Cambridge Academ
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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.

A Guide to Modern Econometrics

Автор: Verbeek M
Название: A Guide to Modern Econometrics
ISBN: 1119951674 ISBN-13(EAN): 9781119951674
Издательство: Wiley
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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

Introduction to Spatial Econometrics

Название: Introduction to Spatial Econometrics
ISBN: 142006424X ISBN-13(EAN): 9781420064247
Издательство: Taylor&Francis
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Цена: 17609.00 р.
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Описание: Presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. This title explores a range of alternative topics, including maximum likelihood and Bayesian estimation and applied modeling situations involving different circumstances.

Applied Nonparametric Econometrics

Автор: Henderson
Название: Applied Nonparametric Econometrics
ISBN: 0521279682 ISBN-13(EAN): 9780521279680
Издательство: Cambridge Academ
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Цена: 6653.00 р.
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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.

Handbook of Econometrics,5

Автор: J.J. Heckman
Название: Handbook of Econometrics,5
ISBN: 0444823409 ISBN-13(EAN): 9780444823403
Издательство: Elsevier Science
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Цена: 18022.00 р.
Наличие на складе: Поставка под заказ.

Описание: Suitable for econometricians, this book examines models, estimation theory, data analysis and field applications in econometrics.

Econometrics and data analysis for developing countries

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
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Цена: 9798.00 р.
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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.

A Primer for Spatial Econometrics: With Applications in R

Автор: Arbia G.
Название: A Primer for Spatial Econometrics: With Applications in R
ISBN: 0230360386 ISBN-13(EAN): 9780230360389
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book aims at meeting the growing demand in the field by introducing the basic spatial econometrics methodologies to a wide variety of researchers. It provides a practical guide that illustrates the potential of spatial econometric modelling, discusses problems and solutions and interprets empirical results.

Econometrics

Автор: Fumio Hayashi
Название: Econometrics
ISBN: 0691010188 ISBN-13(EAN): 9780691010182
Издательство: Wiley
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Цена: 10296.00 р.
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Описание: Introducing first year PhD students to standard graduate econometrics material, this work covers the standard material necessary for understanding the principal techniques of econometrics from ordinary least squares through cointegration. It is useful for those who intend to write a thesis on applied topics and also for the theoretically inclined.

Introduction to Econometrics

Автор: Dougherty, Christopher
Название: Introduction to Econometrics
ISBN: 0199567085 ISBN-13(EAN): 9780199567089
Издательство: Oxford Academ
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Цена: 7285.00 р.
Наличие на складе: Поставка под заказ.

Описание: Introduction to Econometrics provides students with clear and simple mathematics notation and step-by step explanations of mathematical proofs to give them a thorough understanding of the subject. Extensive exercises throughout to encourage students to apply the techniques and gain confidence with, this new edition has been thoroughly revised in line with market feedback. Retaining its student-friendly approach, Introduction to Econometrics has a comprehensive revision guide to all the essential statistical concepts needed to study econometrics, more Monte Carlo simulations than before and new summaries and non-technical introductions to more advanced topics at the end of chapters.


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