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Medientyp: E-Artikel Titel: Euromind‐: A Density Estimate of Monthly Gross Domestic Product for the Euro Area Beteiligte: Proietti, Tommaso; Marczak, Martyna; Mazzi, Gianluigi Erschienen: Wiley, 2017 Erschienen in: Journal of Applied Econometrics, 32 (2017) 3, Seite 683-703 Sprache: Englisch DOI: 10.1002/jae.2556 ISSN: 0883-7252; 1099-1255 Schlagwörter: Economics and Econometrics ; Social Sciences (miscellaneous) Entstehung: Anmerkungen: Beschreibung: <jats:title>Summary</jats:title><jats:p>EuroMInd‐ <jats:inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="graphic/jae2556-math-0002.png" xlink:title="urn:x-wiley:jae:media:jae2556:jae2556-math-0002" /> 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. Copyright © 2016 John Wiley & Sons, Ltd.</jats:p>