Showing 1 - 10 of 705,496
the real-time nowcast of German inflation. Our nowcasting exercise targets three hierarchy levels of inflation: individual … products, product groups, and headline inflation. At the individual product level, we construct a large set of weekly scanner …-frequency setup, these indices significantly improve inflation nowcasts already after the first seven days of a month. For nowcasting …
Persistent link: https://www.econbiz.de/10014527067
techniques can help to improve the nowcast of monthly German inflation in real time. Our nowcasting exercise targets three … the lowest aggregation level underlying official German inflation, such as those of butter and coffee beans. We show that … demonstrate that these scanner-based price indices improve inflation nowcasts at this very narrow level, notably already after the …
Persistent link: https://www.econbiz.de/10014470252
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 present a hierarchical architecture based on recurrent neural networks for predicting disaggregated inflation … components of the Consumer Price Index (CPI). While the majority of existing research is focused on predicting headline inflation … evaluations indicate that the HRNN model significantly outperforms a vast array of well-known inflation prediction baselines. Our …
Persistent link: https://www.econbiz.de/10014345532
We study the forecasting performance of three alternative large scale approaches using a dataset for Germany that … vector autoregression and model averaging techniques, where aggregation takes place before, during and after the estimation … provide the most precise forecasts for a set of eleven core macroeconomic variables, including GDP growth and CPI inflation …
Persistent link: https://www.econbiz.de/10010357899
for policymakers who aim to develop an effective system for real-time monitoring of inflation dynamics at a very granular …
Persistent link: https://www.econbiz.de/10015183168
This paper considers inflation forecasting for a vast panel of countries. We combine the information from common … factors driving global inflation as well as country-specific inflation in order to build a set of different models. We also …
Persistent link: https://www.econbiz.de/10014081711
This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting inflation … inflation with the ability of quantile regression to model flexibly the whole distribution of inflation. In order to make our …-based indicators for the prediction of the conditional distribution of inflation in the euro area, both in the short and longer run …
Persistent link: https://www.econbiz.de/10013324581
This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting in ation risks. The proposed parametric methodology bridges the empirically established benefits of TVP regressions for forecasting in ation with the ability of quantile regression to...
Persistent link: https://www.econbiz.de/10012643282
the real-time nowcast of German inflation. Our nowcasting exercise targets three hierarchy levels of inflation: individual … products, product groups, and headline inflation. At the individual product level, we construct a large set of weekly scanner …-frequency setup, these indices significantly improve inflation nowcasts already after the first seven days of a month. For nowcasting …
Persistent link: https://www.econbiz.de/10014543640