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Econometric Methods For Analyzing Economic Development, Schaeffer & Kouassi


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Цена: 27027.00р.
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Автор: Schaeffer & Kouassi
Название:  Econometric Methods For Analyzing Economic Development
ISBN: 9781466643291
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 1466643293
Обложка/Формат: Hardback
Страницы: 353
Вес: 1.08 кг.
Дата издания: 30.08.2013
Серия: Advances in finance, accounting, and economics
Язык: English
Иллюстрации: Black & white illustrations
Размер: 279 x 216 x 21
Читательская аудитория: Professional and scholarly
Ключевые слова: Econometrics
Рейтинг:
Поставляется из: Англии
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.


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.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Econometric Modelling with Time Series

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: 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.

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.
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.

Econometric Models & Economic Forecasts

Автор: Pindyck
Название: Econometric Models & Economic Forecasts
ISBN: 0071158367 ISBN-13(EAN): 9780071158367
Издательство: McGraw-Hill
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Цена: 9436.00 р.
Наличие на складе: Нет в наличии.

Описание: First course in Econometrics in Economics Departments at better schools, also Economic/Business Forecasting. Slightly higher level and more comprehensive than Gujarati Basic Econometrics (M-H, 1996) . P-R covers more time series and forecasting. P-R coverage is a notch below Johnston-DiNardo (M-H, 97) and requires no matrix algebra.

Evaluating Econometric Forecasts of Economic and Financial Variables

Автор: Clements
Название: Evaluating Econometric Forecasts of Economic and Financial Variables
ISBN: 1403941564 ISBN-13(EAN): 9781403941565
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Financial econometrics is one of the greatest on-going success stories of recent decades, as it has become one of the most active areas of research in econometrics. It describes the methods of evaluating these more complex forecasts which provide a fuller description of the range of possible future outcomes.

Political Economy: Institutions, Competition and Representation: Proceedings of the Seventh International Symposium in Economic Theory and Econometric

Автор: Barnett William A., Hinich Melvin, Schofield Norman
Название: Political Economy: Institutions, Competition and Representation: Proceedings of the Seventh International Symposium in Economic Theory and Econometric
ISBN: 0521428319 ISBN-13(EAN): 9780521428316
Издательство: Cambridge Academ
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Цена: 7126.00 р.
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Описание: Drawn from the Seventh International Symposium in Economic Theory and Econometrics, the contents of this volume represent recent advances in the development of concepts and methods in political economy and include formal, applied, and historical approaches.

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: Нет в наличии.

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: Нет в наличии.

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

Econometric Modelling with Time Series

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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