This paper explores the potential of Business Survey data for the estimation and
disaggregation of macroeconomic variables at higher frequency. We propose a multivariate
approach which is an extension of the Stock and Watson (1991) dynamic factor model,
considering more than one common factor and low-frequency cycles. The multivariate model is
cast in State Space Form and the temporal aggregation constraint is converted into a problem
of missing values. An application in real time for the value added of the Industry sector in the
Euro area is presented.
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