UID:
kobvindex_INTNLM010892397
Format:
1 online resource (xv, 386 p)
,
ill
ISBN:
9781849802161
Series Statement:
Edward Elgar E-Book Archive
Content:
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 Couti{tilde}no -- 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 / S{uml}uleyman {uml}Ozmucur -- 10. Estimation of the US Treasury yield curve at daily and intra-daily frequency / Lawrence R. Klein and S{uml}uleyman {uml}Ozmucur -- 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 Guzm{acute}an
Content:
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
Note:
Includes bibliographical references and index
Additional Edition:
Available in another form ISBN 1847204899(hbk.)
Additional Edition:
ISBN 9781847204899(hardback)
Additional Edition:
ISBN 1847204899
Additional Edition:
ISBN 9781847204899
Language:
English
DOI:
10.4337/9781849802161
URL:
FULL
((Currently Only Available on Campus))
