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Decomposing Federal Funds Rate forecast uncertainty using real-time data
Using real-time data I estimate out-of-sample forecast uncertainty about the Federal Funds Rate. Combining a Taylor rule with a model of economic fundamentals I disentangle economically interpretable components of forecast uncertainty: uncertainty about future economic conditions and uncertainty abo...
-д хадгалсан:
| -д хэвлэсэн: | MAGKS - Joint Discussion Paper Series in Economics (Band 47-2009) |
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| Үндсэн зохиолч: | |
| Формат: | Arbeit |
| Хэл сонгох: | англи |
| Хэвлэсэн: |
Philipps-Universität Marburg
2009
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| Нөхцлүүд: | |
| Онлайн хандалт: | PDF-н бүрэн текст |
| Шошгууд: |
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| Тойм: | Using real-time data I estimate out-of-sample forecast uncertainty about the Federal Funds Rate. Combining a Taylor rule with a model of economic fundamentals I disentangle economically interpretable components of forecast uncertainty: uncertainty about future economic conditions and uncertainty about future monetary policy. Uncertainty about U.S. monetary policy fell to unprecedented low levels in the 1980s and remained low while uncertainty about future output and inflation declined only temporarily. This points to an important role of increased predictability of monetary policy in explaining the decline in macroeconomic volatility in the U.S. since the mid-1980s. |
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| Биет тодорхойлолт: | 43 Seiten |
| ISSN: | 1867-3678 |
| DOI: | 10.17192/es2024.0028 |