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Monitoring daily unemployment at risk

Authors :
Chuliá Soler, Helena
Garrón, Ignacio
Uribe Gil, Jorge Mario
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