Evaluating GDP Forecasting Models for Korea /

This paper develops a new forecasting framework for GDP growth in Korea to complement and further enhance existing forecasting approaches. First, a range of forecast models, including indicator- and pure time-series models, are evaluated for their forecasting performance. Based on the evaluation res...

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書目詳細資料
主要作者: Zeng, Li
格式: 雜誌
語言:English
出版: Washington, D.C. : International Monetary Fund, 2011.
叢編:IMF Working Papers; Working Paper ; No. 2011/053
在線閱讀:Full text available on IMF
實物特徵
總結:This paper develops a new forecasting framework for GDP growth in Korea to complement and further enhance existing forecasting approaches. First, a range of forecast models, including indicator- and pure time-series models, are evaluated for their forecasting performance. Based on the evaluation results, a new forecasting framework is developed for GDP projections. The framework also generates a data-driven reference band for the projections, and is therefore convenient to update. The framework is applied to the current World Economic Outlook (WEO) forecast period and the Great Recession to compare its performance to past projections. Results show that the performance of the new framework often improves the forecasts, especially at quarterly frequency, and the forecasting exercise will be better informed by cross-checking with the new data-driven framework projections.
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實物描述:1 online resource (23 pages)
格式:Mode of access: Internet
ISSN:1018-5941
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