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The number of short-time workers from January to April 2020 is used to now- and forecast quarterly GDP growth. We purge the monthly log level series from the systematic component to extract unexpected changes or shocks to log short-time workers. These monthly shocks are included in a univariate...
Persistent link: https://www.econbiz.de/10012392543
The number of employees historically filed and registered from January to April 2020 for short-time compensation is used to obtain a nowcast for GDP growth in the first quarter and an outlook until the third quarter 2021. We purge the monthly log level series from the systematic component to...
Persistent link: https://www.econbiz.de/10012224722
This paper presents a novel dynamic factor model for non-stationary data. We begin by constructing a simple dynamic stochastic general equilibrium growth model and show that we can represent and estimate the model using a simple linear-Gaussian (Kalman) filter. Crucially, consistent estimation...
Persistent link: https://www.econbiz.de/10011669132
The paper provides a disaggregated mixed-frequency framework for the estimation of GDP. The GDP is disaggregated into components that can be forecasted based on information available at higher sampling frequency, i.e., monthly, weekly, or daily. The model framework is applied for Greek GDP...
Persistent link: https://www.econbiz.de/10014506547
improves the forecasting of the aggregated series compared to using the aggregated series alone. We used econometric techniques …-horizon Superior Predictive Ability (uSPA) tests, used to select the best forecasting model by combining different horizons. Our sample … forecasting horizons that are more than one month ahead using the mean square error, and the aggregated ETS has better forecasting …
Persistent link: https://www.econbiz.de/10013355068
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
-Sampling approach (U-MIDAS) (see Foroni et al., 2015; Castle et al., 2009; Bec and Mogliani, 2013), and the LASSO-type penalised … regression used in Bai and Ng (2008), called the elastic net (Zou and Hastie, 2005). We illustrate our approach by forecasting …
Persistent link: https://www.econbiz.de/10010498420
Persistent link: https://www.econbiz.de/10010439782
notably with the pandemic. In a VAR, allowing the errors to have a distribution with fatter tails than the Gaussian one equips … the model to better deal with the COVID-19 shock. A standard Gaussian VAR can still be used for producing conditional …
Persistent link: https://www.econbiz.de/10012519429
Persistent link: https://www.econbiz.de/10012299273