Back to Search
Start Over
Monitoring daily unemployment at risk
- Source :
- Dipòsit Digital de la UB, Universidad de Barcelona
- Publication Year :
- 2022
- Publisher :
- Universitat de Barcelona. Facultat d'Economia i Empresa, 2022.
-
Abstract
- Using a high-frequency framework, we show that the Auroba-Diebold-Scotti (ADS) daily business conditions index significantly increases the accuracy of U.S. unemployment nowcasts in real-time. This is of particular relevance in times of recession, such as the Global Financial Crisis and the Covid-19 pandemic, when the unemployment rate is prone to rise steeply. Based on our results, the ADS index presents itself as a better predictor than the financial indicators widely used by the literature and central banks, including both interest and credit spreads and the VXO.
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Dipòsit Digital de la UB, Universidad de Barcelona
- Accession number :
- edsair.dedup.wf.001..5c66aa23c8df67504ab07621281ccb3f