This paper investigates the business cycle properties of the euro area and computes a coincident and a leading indicator of economic activity. We accomplish this by applying the newly introduced generalized factor model to a properly constructed and harmonized data set of short term statistics of the euro area (794 monthly series). Unlike other methods used in the literature, the procedure takes into consideration the cross-country as well as the withincountry correlation structure and exploits all information on dynamic cross-correlations. As a byproduct of our analysis, we provide a characterization of the commonality and dynamic relations of the series in the data set with respect to the coincident indicator and a dating of the euro area cycle.
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Find related papers by JEL classification: C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles O30 - Economic Development, Technological Change, and Growth - - Technological Change - - - General
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