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Unoberserved components models for quarterly German GDP
Flaig, Gebhard - 2002
In this paper, an Unobserved Components Model is employed to decompose German real GDP into the trend, cycle and seasonal components and the working day effect. The most important findings are: 1) The growth rate of potential output declined from 4.2 per cent in the sixties to 1.4 per cent at...
Persistent link: https://www.econbiz.de/10011409368
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Revisions of potential output estimates in the EU after the Great Recession
Dovern, Jonas; Zuber, Christopher - 2019
Using European Commission real-time data, we show that potential output (PO) estimates were substantially and persistently revised downwards after the Great Recession. We decompose PO revisions into revisions of the capital stock, trend labor, and trend total-factor productivity (TFP)....
Persistent link: https://www.econbiz.de/10012026398
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Coherence of output gaps in the euro area : the impact of the Covid-19 shock
Haan, Jakob de; Jacobs, Jan; Zijm, Renske - 2022
Using the measures proposed by Mink et al. (2012), we reexamine the coherence of business cycles in the euro area using a long sample period. We also analyze the impact of the COVID-19 pandemic on business cycle coherence and examine whether our measures for business cycle coherence indicate a...
Persistent link: https://www.econbiz.de/10013168003
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Survey-based structural budget balances
Göttert, Marcell; Wollmershäuser, Timo - 2021
The budget dispute between Italy and the European Commission in 2018 gave new impetus for the debate about the reliability of output gap estimation methods and their use for calculating structural budget balances. In this paper we review the main properties of the mainstream approaches and...
Persistent link: https://www.econbiz.de/10012438332
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Estimating the output gap using business survey data : a bivariate structural time series model for the German economy
Flaig, Gebhard; Ploetscher, Claudia - 2000
This paper deals with the estimation of the output gap. We use uni- and bivariate unobserved components models in order to decompose the observed German GDP-series into trend, cycle and seasonal components. The results show that using the ifo business assessment variable as an indicator for the...
Persistent link: https://www.econbiz.de/10009781503
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Trend and cycles in US real GDP
Flaig, Gebhard - 2001
In this paper an Unobserved Components Model is employed to decompose U.S. real GDP into trend and cycle components. The main findings are that there exist three cycles with a period of about two, five and 13 years, respectively, and that the long-run development during the last 50 years can be...
Persistent link: https://www.econbiz.de/10011408403
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Robust implementation of a parsimonious dynamic factor model to nowcast GDP
Duarte, Pablo; Süssmuth, Bernd - 2014
Quarterly GDP figures usually are published with a delay of some weeks. A common way to generate GDP series of higher frequency, i.e. to nowcast GDP, is to use available indicators to calculate a single index by means of a common factor derived from a dynamic factor model (DFM). This paper deals...
Persistent link: https://www.econbiz.de/10010229863
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Forecasting GDP all over the world using leading indicators based on comprehensive survey data
Garnitz, Johanna; Lehmann, Robert; Wohlrabe, Klaus - 2019
, we use a free and instantaneous available source of leading indicators, the ifo World Economic Survey (WES), to forecast … major WES indicators produces on average lower forecast errors compared to a benchmark model. Second, the most important WES …, adding the WES indicators of the main trading partners leads to a further increase of forecast accuracy in more than 50% of …
Persistent link: https://www.econbiz.de/10012026466
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Forecastability and statistical characteristics of aggregate oil and gas investments on the Norwegian Continental Shelf
Lorentzen, Sindre; Osmundsen, Petter - 2016
We investigate the potential for statistical forecasting of aggregate oil and gas investment on the Norwegian Continental Shelf (NCS). A unique and detailed dataset containing data from 109 different fields on the NCS between 1970 and 2015 was employed. A set of 1080 autoregressive distributed...
Persistent link: https://www.econbiz.de/10011544319
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Trends and cycles in macro series : the case of US real GDP
Caporale, Guglielmo Maria; Gil-Alaña, Luis A. - 2017
In this paper we propose a new modelling framework for the analysis of macro series that includes both stochastic trends and stochastic cycles in addition to deterministic terms such as linear and non-linear trends. We examine four US macro series, namely annual and quarterly real GDP and GDP...
Persistent link: https://www.econbiz.de/10011750067