Most of the Euro-zone economic short-term indicators are computed through aggregation from Member States data. The seasonally adjusted figures can be calculated by seasonally adjusting the aggregate (direct approach) or aggregating the seasonally adjusted national data (indirect approach). Statistical and practical considerations to choose the right strategy are given in the paper. An application to the Euro-zone GDP is presented. The same aggregation problem encountered in the case of seasonal adjustment will persist when extracting the business cycle. Moreover, since raw figures imply problems in terms of excessive noise of the series, analysts generally prefer the use of seasonally adjusted time series. As a consequence, the problem of c...
This article investigates to what extent business cycles co-move in the four largest euro area econo...
Both temporal disaggregation techniques and bridge models are tools to analyse the GDP dynamics in t...
The paper estimates a large-scale mixed-frequency dynamic factor model for the euro area, using mont...
Most of the Euro-zone economic short-term indicators are computed through aggregation from Member St...
Most of the European and Euro-zone economic short term indicators are computed either through “horiz...
Proposes a number of improvements to standard techniques to detect the peaks and troughs of business...
In this paper, we investigate the impact of the adjustment for seasonal effects with different seaso...
An econometric exercise is run to identify outliers, seasonal adjust and extract the cycle from New ...
This paper examines the time series properties of real GDP in the Euro area (EU 11), both prior to a...
This paper is an exercise in dating the Euro area business cycle on a monthly basis. Using a quite f...
This paper uses an extension of the Euro-Sting single-index dynamic factor model to construct short-...
The detection and estimation of business cycles in economic time series is an important activity of ...
Business cycles, the ups and downs observed somewhat simultaneously in numerous macroeconomic variab...
This extract is taken from the author's original manuscript and has not been edited. The definitive,...
This article presents a new type of business-cycle index that allows for cycle-to-cycle comparisons ...
This article investigates to what extent business cycles co-move in the four largest euro area econo...
Both temporal disaggregation techniques and bridge models are tools to analyse the GDP dynamics in t...
The paper estimates a large-scale mixed-frequency dynamic factor model for the euro area, using mont...
Most of the Euro-zone economic short-term indicators are computed through aggregation from Member St...
Most of the European and Euro-zone economic short term indicators are computed either through “horiz...
Proposes a number of improvements to standard techniques to detect the peaks and troughs of business...
In this paper, we investigate the impact of the adjustment for seasonal effects with different seaso...
An econometric exercise is run to identify outliers, seasonal adjust and extract the cycle from New ...
This paper examines the time series properties of real GDP in the Euro area (EU 11), both prior to a...
This paper is an exercise in dating the Euro area business cycle on a monthly basis. Using a quite f...
This paper uses an extension of the Euro-Sting single-index dynamic factor model to construct short-...
The detection and estimation of business cycles in economic time series is an important activity of ...
Business cycles, the ups and downs observed somewhat simultaneously in numerous macroeconomic variab...
This extract is taken from the author's original manuscript and has not been edited. The definitive,...
This article presents a new type of business-cycle index that allows for cycle-to-cycle comparisons ...
This article investigates to what extent business cycles co-move in the four largest euro area econo...
Both temporal disaggregation techniques and bridge models are tools to analyse the GDP dynamics in t...
The paper estimates a large-scale mixed-frequency dynamic factor model for the euro area, using mont...