It takes the average reader and 25 minutes to read Systematizing Macroframework Forecasting: High-Dimensional Conditional Forecasting with Accounting Identities by Mr. Sakai Ando
Assuming a reading speed of 250 words per minute. Learn more
Forecasting a macroframework, which consists of many macroeconomic variables and accounting identities, is widely conducted in the policy arena to present an economic narrative and check its consistency. Such forecasting, however, is challenging because forecasters should extend limited information to the entire macroframework in an internally consistent manner. This paper proposes a method to systematically forecast macroframework by integrating (1) conditional forecasting with machine-learning techniques and (2) forecast reconciliation of hierarchical time series. We apply our method to an advanced economy and a tourism-dependent economy using France and Seychelles and show that it can improve the WEO forecast.
Systematizing Macroframework Forecasting: High-Dimensional Conditional Forecasting with Accounting Identities by Mr. Sakai Ando is 25 pages long, and a total of 6,375 words.
This makes it 8% the length of the average book. It also has 8% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 34 minutes to read Systematizing Macroframework Forecasting: High-Dimensional Conditional Forecasting with Accounting Identities aloud.
Systematizing Macroframework Forecasting: High-Dimensional Conditional Forecasting with Accounting Identities is suitable for students ages 8 and up.
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