Chuliá Soler, HelenaGarrón Vedia, IgnacioUribe Gil, Jorge Mario2022-07-122022-07-122022https://hdl.handle.net/2445/187583Using 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.20 p.application/pdfengcc-by-nc-nd, (c) Chuliá Soler et al., 2022http://creativecommons.org/licenses/by-nc-nd/3.0/es/Anàlisi de regressióMostreig (Estadística)UnemploymentRegression analysisSampling (Statistics)Aturinfo:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/openAccess