Anticipating business-cycle turning points in real time using density forecasts from a VAR:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin
Freie Univ. Berlin, FB Wirtschaftswiss., Volkswirtschaftslehre
2014
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Schriftenreihe: | Discussion paper / School of Business & Economics
2014,2 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | 1 Online-Ressource (38 S.) graph. Darst. |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
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author_facet | Schreiber, Sven |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T01:05:00Z |
institution | BVB |
language | English |
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physical | 1 Online-Ressource (38 S.) graph. Darst. |
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publishDate | 2014 |
publishDateSearch | 2014 |
publishDateSort | 2014 |
publisher | Freie Univ. Berlin, FB Wirtschaftswiss., Volkswirtschaftslehre |
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series2 | Discussion paper / School of Business & Economics |
spelling | Schreiber, Sven Verfasser aut Anticipating business-cycle turning points in real time using density forecasts from a VAR Sven Schreiber Berlin Freie Univ. Berlin, FB Wirtschaftswiss., Volkswirtschaftslehre 2014 1 Online-Ressource (38 S.) graph. Darst. txt rdacontent c rdamedia cr rdacarrier Discussion paper / School of Business & Economics 2014,2 Geschichte 1994-2007 gnd rswk-swf Konjunkturdiagnose (DE-588)4139120-2 gnd rswk-swf Konjunkturforschung (DE-588)4128162-7 gnd rswk-swf Prognose (DE-588)4047390-9 gnd rswk-swf Deutschland (DE-588)4011882-4 gnd rswk-swf USA (DE-588)4078704-7 gnd rswk-swf USA (DE-588)4078704-7 g Deutschland (DE-588)4011882-4 g Konjunkturforschung (DE-588)4128162-7 s Konjunkturdiagnose (DE-588)4139120-2 s Prognose (DE-588)4047390-9 s Geschichte 1994-2007 z DE-188 School of Business & Economics Discussion paper 2014,2 (DE-604)BV026641400 2014,2 http://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000019497 kostenfrei Volltext |
spellingShingle | Schreiber, Sven Anticipating business-cycle turning points in real time using density forecasts from a VAR Konjunkturdiagnose (DE-588)4139120-2 gnd Konjunkturforschung (DE-588)4128162-7 gnd Prognose (DE-588)4047390-9 gnd |
subject_GND | (DE-588)4139120-2 (DE-588)4128162-7 (DE-588)4047390-9 (DE-588)4011882-4 (DE-588)4078704-7 |
title | Anticipating business-cycle turning points in real time using density forecasts from a VAR |
title_auth | Anticipating business-cycle turning points in real time using density forecasts from a VAR |
title_exact_search | Anticipating business-cycle turning points in real time using density forecasts from a VAR |
title_full | Anticipating business-cycle turning points in real time using density forecasts from a VAR Sven Schreiber |
title_fullStr | Anticipating business-cycle turning points in real time using density forecasts from a VAR Sven Schreiber |
title_full_unstemmed | Anticipating business-cycle turning points in real time using density forecasts from a VAR Sven Schreiber |
title_short | Anticipating business-cycle turning points in real time using density forecasts from a VAR |
title_sort | anticipating business cycle turning points in real time using density forecasts from a var |
topic | Konjunkturdiagnose (DE-588)4139120-2 gnd Konjunkturforschung (DE-588)4128162-7 gnd Prognose (DE-588)4047390-9 gnd |
topic_facet | Konjunkturdiagnose Konjunkturforschung Prognose Deutschland USA |
url | http://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000019497 |
volume_link | (DE-604)BV026641400 |
work_keys_str_mv | AT schreibersven anticipatingbusinesscycleturningpointsinrealtimeusingdensityforecastsfromavar |