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Persistent link: https://www.econbiz.de/10010195498
similar to the nowcast and forecast errors made during the financial crisis and following recovery seems to produce the best …
Persistent link: https://www.econbiz.de/10012285550
Euro area labour market variables are published with a considerable lag, longer than in the case of real GDP. We develop a suite of models to provide a more timely estimate (nowcast) of euro area quarterly employment growth based on a broad range of monthly indicators. The suite includes a batch...
Persistent link: https://www.econbiz.de/10014315194
We propose to treat survey-based density expectations as compositional data when testing either for heterogeneity in density forecasts across different groups of agents or for changes over time. Monte Carlo simulations show that the proposed test has more power relative to both a bootstrap...
Persistent link: https://www.econbiz.de/10013553623
This paper proposes a new methodology based on textual analysis to forecast U.S. recessions. Specifically, the paper … activity. When used in a standard recession probability model, the index outperforms the yield curve based forecast, a standard … method to forecast recessions, at medium horizons, up to 8 months. Moreover, the index contains information not included in …
Persistent link: https://www.econbiz.de/10012421073
The post-crisis environment has posed important challenges to standard forecasting models. In this paper, we exploit several combinations of a large-scale DSGE structural model with standard reduced-form methods such as (B)VAR (i.e. DSGE-VAR and Augmented-(B)VARDSGE methods) and assess their use...
Persistent link: https://www.econbiz.de/10012132553
Persistent link: https://www.econbiz.de/10009765159
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We show that financial variables contribute to the forecast of GDP growth during the Great Recession, providing …
Persistent link: https://www.econbiz.de/10012241245
Monitoring economic conditions in real time, or nowcasting, is among the key tasks routinely performed by economists. Nowcasting entails some key challenges, which also characterise modern Big Data analytics, often referred to as the three "Vs": the large number of time series continuously...
Persistent link: https://www.econbiz.de/10012259379