weights.csv
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)
Metadata
Field | Value |
---|---|
Format | text/csv |
License | CC-BY 4.0 |
URL | https://jda-test.zbw.eu/dataset/e1cb21a3-95d5-47ba-86ce-c95ceb1fe0bc/resource/413b8861-e9a4-4a4f-8fea-cd0ed185b98c/download/weights.csv |
Last updated | November 8, 2022 |
Created | November 8, 2022 |