Applied Economic Forecasting Using Time Series Methods - Hardcover

Ghysels, Eric ; Marcellino, Massimiliano

9780190622015: Applied Economic Forecasting Using Time Series Methods

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ISBN 10: 0190622016 ISBN 13: 9780190622015

Verlag: OXFORD UNIV PR, 2018

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Provides the necessary tools to solve real-world forecasting problems using time-series methods.

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�ber die Autorin bzw. den Autor

Eric Ghysels is the Edward M. Bernstein Distinguished Professor of Economics at UNC Chapel Hill, Professor of Finance at the Kenan-Flagler Business School and CEPR Fellow.

Massimiliano Marcellino is Professor of Econometrics at Bocconi University, fellow of CEPR and IGIER.

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Verlag: OXFORD UNIV PR
Erscheinungsdatum: 2018
Sprache: Englisch
ISBN 10: 0190622016
ISBN 13: 9780190622015
Einband: Gebundene Ausgabe
Anzahl der Seiten: 616
Kontakt zum Hersteller: preigu GmbH & Co. KG
mail@preigu.de

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Applied Economic Forecasting using Time Series Methods

Marcellino, Massimiliano,Ghysels, Eric

Verlag: Oxford University Press, 2018

ISBN 10: 0190622016 ISBN 13: 9780190622015

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Applied Economic Forecasting using Time Series Methods

Ghysels, Eric

Verlag: Oxford University Press, 2018

ISBN 10: 0190622016 ISBN 13: 9780190622015

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Applied Economic Forecasting using Time Series Methods

Eric Ghysels

Verlag: Oxford University Press Inc, 2018

ISBN 10: 0190622016 ISBN 13: 9780190622015

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Hardback. Zustand: Good. Economic forecasting is a key ingredient of decision making both in the public and in the private sector. Because economic outcomes are the result of a vast, complex, dynamic and stochastic system, forecasting is very difficult and forecast errors are unavoidable.Because forecast precision and reliability can be enhanced by the use of proper econometric models and methods, this innovative book provides an overview of both theory and applications. Undergraduate and graduate students learning basic and advanced forecasting techniques will be able to build from strong foundations, and researchers in public and private institutions will have access to the most recent tools and insights. Readers will gain from the frequent examples that enhance understanding of how to apply techniques, first by using stylized settings and then by real data applications--focusing on macroeconomic and financial topics. This is first and foremost a book aimed at applying time series methods to solve real-world forecasting problems. Applied Economic Forecasting using Time Series Methods starts with a brief review of basic regression analysis with a focus on specific regression topics relevant for forecasting, such as model specification errors, dynamic models and their predictive properties as well as forecast evaluation and combination. Several chapters cover univariate time series models, vector autoregressive models, cointegration and error correction models, and Bayesian methods for estimating vector autoregressive models. A collection of special topics chapters study Threshold and Smooth Transition Autoregressive (TAR and STAR) models, Markov switching regime models, state space models and the Kalman filter, mixed frequency data models, nowcasting, forecasting using large datasets and, finally, volatility models. There are plenty of practical applications in the book and both EViews and R code are available online. Bestandsnummer des Verk�ufers CIN0190622016G

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Applied Economic Forecasting using Time Series Methods

Ghysels, Eric; Marcellino, Massimiliano

Verlag: Oxford University Press, 2018

ISBN 10: 0190622016 ISBN 13: 9780190622015

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Zustand: Good. The book may have minor cosmetic wear like creased spine, cover, scratches, curled corners, folded pages, minor sunburn, minor water damage, minor bent. The book may have some highlights, notes, underlined pages. Accessories such as CD, codes, toys, may not be included . Safe and Secure Mailer. No Hassle Return. Bestandsnummer des Verk�ufers 2.3M_MG_H0004P4L

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Applied Economic Forecasting using Time Series Methods

Ghysels, Eric,Marcellino, Massimiliano

Verlag: Oxford University Press, 2018

ISBN 10: 0190622016 ISBN 13: 9780190622015

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hardcover. Zustand: Very Good. Clean Pages. Proceeds benefit the Pima County Public Library system, which serves Tucson and southern Arizona. Slight edge wear and bumping. Bestandsnummer des Verk�ufers mon0000016936

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