 Monthly recession predictions in real time: A density forecast approach for German industrial productionKatja Rietzler () and Sabine Stephan No 94-2012, IMK Working Paper from IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute Abstract: In this paper we present a methodology which can help to improve the assessment of the current economic situation. We propose an approach which combines multivariate single equations to forecast the monthly growth rate of industrial production with a density forecast. This allows to estimate the current recession probability. In the analysis the focus is on the real-time problem, i.e. the fact that the reference series (industrial production) as well as important indicators are not available on a timely basis and are often revised substantially over an extended period. For this reason the whole analysis is carried out under real-time conditions. Indeed the forecast of the recession probabilities allows to identify the recession well before it can be seen in the official data. This result is encouraging. But there is still a substantial need for further research. Keywords: recession probability; density forecast; forecasting; business cycleresearch; real-time data; real-time conditions (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:imk:wpaper:94-2012 Access Statistics for this paper More papers in IMK Working Paper from IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute Contact information at EDIRC. |
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