Browsing by Subject "Bruttoinlandsprodukt"

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EuroMInd-D : a density estimate of monthly gross domestic product for the Euro area
(2015) Proietti, Tommaso; Marczak, Martyna; Mazzi, Gianluigi
EuroMInd-D is a density estimate of monthly gross domestic product (GDP) constructed according to a bottom–up approach, pooling the density estimates of eleven GDP components, by output and expenditure type. The components density estimates are obtained from a medium-size dynamic factor model of a set of coincident time series 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 sequentially the data 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.
Going beyond GDP with a parsimonious indicator : inequality-adjusted healthy lifetime income
(2020) Yamey, Gavin; Prettner, Klaus; Ogbuoji, Osondu; Kufenko, Vadim; Fan, Victoria Y.; Bloom, David E.
Per capita GDP has limited use as a well-being indicator because it does not capture many dimensions that imply a “good life,” such as health and equality of opportunity. However, per capita GDP has the virtues of easy interpretation and can be calculated with manageable data requirements. Against this backdrop, a need exists for a measure of well-being that preserves the advantages of per capita GDP, but also includes health and equality. We propose a new parsimonious indicator to fill this gap and calculate it for 149 countries.