Sprache: Englisch
Verlag: Oxford University Press (edition ), 2018
ISBN 10: 0190622016 ISBN 13: 9780190622015
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Anbieter: PBShop.store US, Wood Dale, IL, USA
HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 127,67
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In den WarenkorbHRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
EUR 115,94
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In den WarenkorbZustand: NEW.
Sprache: Englisch
Verlag: Oxford University Press|OUP USA, 2020
ISBN 10: 0190622016 ISBN 13: 9780190622015
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Economic forecasting is a key ingredient of decision making in the public and private sectors. This book provides the necessary tools to solve real-world forecasting problems using time-series methods. It targets undergraduate and graduate students as well .
Sprache: Englisch
Verlag: Oxford University Press Inc, 2018
ISBN 10: 0190622016 ISBN 13: 9780190622015
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2018. Hardcover. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Oxford University Press Inc Apr 2018, 2018
ISBN 10: 0190622016 ISBN 13: 9780190622015
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - 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.
Buch. Zustand: Neu. Applied Economic Forecasting using Time Series Methods | Eric Ghysels (u. a.) | Buch | Gebunden | Englisch | 2020 | Oxford University Press | EAN 9780190622015 | Verantwortliche Person für die EU: Deutsche Bibelgesellschaft, Postfach:81 03 40, 70567 Stuttgart, vertrieb[at]dbg[dot]de | Anbieter: preigu.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 232,62
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 624 pages. 10.00x7.25x1.50 inches. In Stock.