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Online Ressourcen (ohne Zeitschr.)
Titel: 
Sonst. Personen: 
Körperschaft/en: 
Sprache/n: 
Englisch
Veröffentlichungsangabe: 
Cheltenham, U.K ; Northampton, Mass : Edward Elgar, 2009
Umfang: 
1 Online-Ressource (xv, 386 p) : ill
Art des Inhalts: 
Schriftenreihe: 
Anmerkung: 
Includes bibliographical references and index
Bibliogr. Zusammenhang: 
ISBN: 
978-1-84980-216-1 : e-book
Weitere Ausgaben: 9781847204899 (hardback) (andere physische Form), 1847204899 (hbk.) (andere physische Form)
Identifier: 
Schlagwörter: 
Sachgebiete: 
Mehr zum Thema: 
Klassifikation der Library of Congress: HB3730
Dewey Dezimal-Klassifikation: 330.0112;
Inhalt: 
This important book, prepared under the direction of Nobel Laureate Lawrence R. Klein, shows how economic forecasts are made. It explains how modern developments in information technology have made it possible to forecast frequently--at least monthly but also weekly or bi-weekly--depending upon the perceived needs of potential forecast users and also on the availability of updated material
1. Background to national economic forecasts and the high-frequency model of the USA / Lawrence R. Klein -- 2. Forecasting the sustainability of China's economic performance : early twenty-first century and beyond / Wendy Mak -- 3. The economic growth story in India : past, present and prospects for the future / Sudip Ranjan Basu -- 4. High-frequency forecasting model for the Russian economy / Vladimir Eskin and Mikhail Gusev -- 5. Short-term forecasting of key indicators of the German economy / Andrei Roudoi -- 6. Mexico : current quarter forecasts / Alfredo Coutiño -- 7. A high-frequency forecasting model and its application to the Japanese economy / Yoshihisa Inada -- 8. The making of national economic forecasts : South Korea / You Chan 'Kevin' Chung -- 9. Current quarter model for Turkey / Süleyman Özmucur -- 10. Estimation of the US Treasury yield curve at daily and intra-daily frequency / Lawrence R. Klein and Süleyman Özmucur -- 11. Using data and models at mixed frequencies in computation and forecasting / Fyodor I. Kushnirsky -- 12. Using sentiment surveys to predict GDP growth and stock returns / Giselle Guzmán
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