readme.ph.txt
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From the dataset abstract
Modeling and predicting extreme movements in GDP is notoriously difficult and the selection of appropriate covariates and/or possible forms of nonlinearities are key in obtaining precise...
Source: Nonlinearities in macroeconomic tail risk through the lens of big data quantile regressions
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Metadata
| Field | Value |
|---|---|
| Format | text/plain |
| License | CC-BY 4.0 |
| Type | data |
| Version | 1 |
| Authors | Prüser, Jan and |
| DOI | |
| Publication Date | 2023 |
| Availability | Download |
| Geographic Area (free) | |
| Temporal Coverage (free) | |
| Unit Type | |
| Number of Units | |
| Sampled Universe | |
| Number of Variables | |
| URL | https://journaldata.zbw.eu/dataset/82caff5d-ee51-49ef-a6a5-ed813b57f30b/resource/7180e8a3-ea12-4452-ba6b-d95c23c70b7f/download/readme.txt |
| Last updated | November 14, 2023 |
| Created | November 14, 2023 |
