Euromind- D: A Density Estimate of Monthly Gross Domestic Product for the Euro Area

Tommaso Proietti*, Martyna Marczak, Gianluigi Mazzi

*Corresponding author for this work

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review


EuroMInd- D is a density estimate of monthly gross domestic product (GDP) constructed according to a bottom-up approach, pooling the density estimates of 11 GDP components, by output and expenditure type. The components' density estimates are obtained from a medium-size dynamic factor model handling mixed frequencies of observation and ragged-edged data structures. They reflect both parameter and filtering uncertainty and are obtained by implementing a bootstrap algorithm for simulating from the distribution of the maximum likelihood estimators of the model parameters, and conditional simulation filters for simulating from the predictive distribution of GDP. Both algorithms process the data sequentially as they become available in real time. The GDP density estimates for the output and expenditure approach are combined using alternative weighting schemes and evaluated with different tests based on the probability integral transform and by applying scoring rules.

Original languageEnglish
JournalJournal of Applied Econometrics
Pages (from-to)683-703
Number of pages21
Publication statusPublished - 1 Apr 2017


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