Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Moauro, Filippo"'
Autor:
Guardabascio, Barbara1 (AUTHOR) barbara.guardabascio@unipg.it, Moauro, Filippo2 (AUTHOR), Mosley, Luke3 (AUTHOR)
Publikováno v:
Empirical Economics. Aug2024, Vol. 67 Issue 2, p531-566. 36p.
Autor:
Proietti, Tommaso, Moauro, Filippo
Publikováno v:
Journal of the Royal Statistical Society. Series C (Applied Statistics), 2006 Jan 01. 55(2), 281-300.
Externí odkaz:
https://www.jstor.org/stable/3592667
Autor:
Moauro, Filippo, Savio, Giovanni
Publikováno v:
The Econometrics Journal, 2005 Jan 01. 8(2), 214-234.
Externí odkaz:
https://www.jstor.org/stable/23113639
Autor:
Bisio, Laura1 bisio@istat.it, Moauro, Filippo1
Publikováno v:
Statistica Neerlandica. Nov2018, Vol. 72 Issue 4, p471-494. 24p. 5 Charts, 9 Graphs.
Autor:
Moauro, Filippo1
Publikováno v:
Journal of Forecasting. Aug2014, Vol. 33 Issue 5, p339-349. 11p.
Autor:
Moauro, Filippo
The paper presents the results of an extensive real time analysis of alternative model-based approaches to derive a monthly indicator of employment for the euro area. In the experiment the Eurostat quarterly national accounts series of employment is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::671494c6b31c16cfaeaa04045b38ffc9
https://mpra.ub.uni-muenchen.de/27797/1/MPRA_paper_27797.pdf
https://mpra.ub.uni-muenchen.de/27797/1/MPRA_paper_27797.pdf
Autor:
Moauro, Filippo
The change of classification problem for economic sectoral time series data is examined by a conversion matrix approach. State space representations are proposed both for data reconstruction and modelling a change of classification. The Doran (1992)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______348::b49c05401a4454566abe667911d31dbc
https://eprints.soton.ac.uk/464232/
https://eprints.soton.ac.uk/464232/
Akademický článek
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Autor:
Dario Buono, Duncan Elliott, Gian Luigi Mazzi, Reiner Bikker, Markus Frölich, Riccardo Gatto, Barbara Guardalbascio, Stefan Hauf, Enrico Infante, Filippo Moauro, Erich Oltmanns, Jean Palate, Karel Safr, Peter Tibert Stoltze, Francesca Di Iorio
Temporal disaggregation, benchmarking and reconciliation methods can be used to obtain temporal and spatial consistency in sets of time series. Such methods are widely used across the European Statistical System in the production of official statisti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::fb902bb531b99dc4a9b52d83102d22e8
http://hdl.handle.net/11588/727279
http://hdl.handle.net/11588/727279