Monthly recession predictions in real time: A density forecast approach for German industrial production
AbstractIn 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.
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Bibliographic InfoPaper provided by IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute in its series IMK Working Paper with number 94-2012.
Length: 26 pages
Date of creation: 2012
Date of revision:
recession probability; density forecast; forecasting; business cycleresearch; real-time data; real-time conditions;
Find related papers by JEL classification:
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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