It takes the average reader and 39 minutes to read Identifying Optimal Indicators and Lag Terms for Nowcasting Models by Jing Xie
Assuming a reading speed of 250 words per minute. Learn more
Many central banks and government agencies use nowcasting techniques to obtain policy relevant information about the business cycle. Existing nowcasting methods, however, have two critical shortcomings for this purpose. First, in contrast to machine-learning models, they do not provide much if any guidance on selecting the best explantory variables (both high- and low-frequency indicators) from the (typically) larger set of variables available to the nowcaster. Second, in addition to the selection of explanatory variables, the order of the autoregression and moving average terms to use in the baseline nowcasting regression is often set arbitrarily. This paper proposes a simple procedure that simultaneously selects the optimal indicators and ARIMA(p,q) terms for the baseline nowcasting regression. The proposed AS-ARIMAX (Adjusted Stepwise Autoregressive Moving Average methods with exogenous variables) approach significantly reduces out-of-sample root mean square error for nowcasts of real GDP of six countries, including India, Argentina, Australia, South Africa, the United Kingdom, and the United States.
Identifying Optimal Indicators and Lag Terms for Nowcasting Models by Jing Xie is 38 pages long, and a total of 9,804 words.
This makes it 13% the length of the average book. It also has 12% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 53 minutes to read Identifying Optimal Indicators and Lag Terms for Nowcasting Models aloud.
Identifying Optimal Indicators and Lag Terms for Nowcasting Models is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
Identifying Optimal Indicators and Lag Terms for Nowcasting Models by Jing Xie is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.
To buy Identifying Optimal Indicators and Lag Terms for Nowcasting Models by Jing Xie on Amazon click the button below.
Buy Identifying Optimal Indicators and Lag Terms for Nowcasting Models on Amazon