Item Infomation
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Anna, Sznajderska | - |
| dc.contributor.author | Alfred A., Haug | - |
| dc.date.accessioned | 2023-04-11T01:51:33Z | - |
| dc.date.available | 2023-04-11T01:51:33Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s40822-023-00229-9 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7735 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | We compare the forecasting performance of small and large Bayesian vector-autoregressive (BVAR) models for the United States. We do the forecast evaluation of the competing models for the sample that ends before the pandemic and for the sample that contains the pandemic period. The findings document that these models can be used for structural analysis and generate credible impulse response functions. Furthermore, the results indicate that there are only small gains from the application of a large BVAR model compared to a small BVAR model. | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | BVAR | vi |
| dc.subject | VARs | vi |
| dc.title | Bayesian VARs of the U.S. economy before and during the pandemic | vi |
| dc.type | Book | vi |
| Appears in Collections | ||
| OER - Kinh tế và Quản lý | ||
Files in This Item:
