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2018 forecast. Forecasted values were compared to the available actual data for 2018 using MAPE and RMSE methods. The GARCH … model provides more accurate forecasts than the O-U process by both methods. RMSE stands at 3.75 °C versus 4.53 °C for the O … in forecasting accuracy to allow for additional data to be included in the forecasting process, such as up …
Persistent link: https://www.econbiz.de/10012264990
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
encouraging. In a pseudo out-of-sample exercise, our approach beats relevant benchmarks for forecasting CPI inflation and an …
Persistent link: https://www.econbiz.de/10010508347
the beginning of 2018. They also have performed well in forecasting the direction of inflation. In terms of the …
Persistent link: https://www.econbiz.de/10011901421
; (iv) newer generation Phillips curve models with several timevarying features are a promising avenue for forecasting …
Persistent link: https://www.econbiz.de/10012299084
Im Zentrum dieser Dissertation steht das Beschreiben und Erklären von Konjunkturdynamiken. Motiviert durch den außerordentlich starken wirtschaftlichen Einbruch in 2008/2009 betont die Arbeit dabei die Wichtigkeit der Nutzung von nichtlinearen Modellansätzen. Die Dissertation kann als Beitrag...
Persistent link: https://www.econbiz.de/10012154125
We document the impact of COVID-19 on frequently employed time series models, with a focus on euro area in ation. We show that for both single equation models (Phillips curves) and Vector Autoregressions (VARs) estimated parameters change notably with the pandemic. In a VAR, allowing the errors...
Persistent link: https://www.econbiz.de/10012519429
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
Macedonia). The models are compared based on the values of ME, RMSE, MAE, MPE, MAPE, MASE and Theil's U for the out … policy is not implemented in the same way and the NNAR models are better for inflation forecasting. …
Persistent link: https://www.econbiz.de/10012939069
This paper discusses identification, specification, estimation and forecasting for a general class of periodic … formulations are introduced for exact maximum likelihood estimation, component estimation and forecasting. Identification issues …
Persistent link: https://www.econbiz.de/10011350384