data_stuff_EW.R
Creators:
Jesus Crespo Cuaresma
;
Martin Feldkircher
;
Florian Huber
From the dataset abstract
This paper develops a Bayesian variant of global vector autoregressive (B-GVAR) models to forecast an international set of macroeconomic and financial variables. We propose a set of...
Source: Forecasting with Global Vector Autoregressive Models: a Bayesian Approach (replication data)
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Metadata
| Field | Value |
|---|---|
| Format | R |
| License | CC-BY 4.0 |
| URL | https://jda-test.zbw.eu/dataset/e1cb21a3-95d5-47ba-86ce-c95ceb1fe0bc/resource/e92c8d22-aa39-46d6-8fc0-f2b3dcc17829/download/data_stuff_ew.r |
| Last updated | November 8, 2022 |
| Created | November 8, 2022 |
