It takes the average reader and 33 minutes to read Predictive Density Aggregation: A Model for Global GDP Growth by Francesca G Caselli
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In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a bottom-up probabilistic model that estimates and combines single countries’ predictive GDP growth densities, taking into account cross-country interdependencies. Speci?cally, we model non-parametrically the contemporaneous interdependencies across the United States, the euro area, and China via a conditional kernel density estimation of a joint distribution. Then, we characterize the potential ampli?cation e?ects stemming from other large economies in each region—also with kernel density estimations—and the reaction of all other economies with para-metric assumptions. Importantly, each economy’s predictive density also depends on a set of observable country-speci?c factors. Finally, the use of sampling techniques allows us to aggregate individual countries’ densities into a world aggregate while preserving the non-i.i.d. nature of the global GDP growth distribution. Out-of-sample metrics con?rm the accuracy of our approach.
Predictive Density Aggregation: A Model for Global GDP Growth by Francesca G Caselli is 33 pages long, and a total of 8,349 words.
This makes it 11% the length of the average book. It also has 10% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes and 45 minutes to read Predictive Density Aggregation: A Model for Global GDP Growth aloud.
Predictive Density Aggregation: A Model for Global GDP Growth is suitable for students ages 8 and up.
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