Predictive Density Aggregation : A Model for Global GDP Growth /
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 mod...
| Main Author: | Caselli, Francesca |
|---|---|
| Other Authors: | Grigoli, Francesco, Lafarguette, Romain, Wang, Changchun |
| Format: | Journal |
| Language: | English |
| Published: |
Washington, D.C. :
International Monetary Fund,
2020.
|
| Series: | IMF Working Papers; Working Paper ;
No. 2020/078 |
| Subjects: | |
| Online Access: | Full text available on IMF |
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