dc.contributor.author
Strohsal, Till
dc.contributor.author
Wolf, Elias
dc.date.accessioned
2019-07-24T07:59:01Z
dc.date.available
2019-07-24T07:59:01Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/25147
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-2902
dc.description.abstract
Data revisions to national accounts pose a serious challenge to policy decision
making. Well-behaved revisions should be unbiased, small and unpredictable.
This paper shows that revisions to German national accounts are biased, large
and predictable. Moreover, using filtering techniques designed to process data
subject to revisions, the real-time forecasting performance of initial releases can
be increased by up to 17%. For total real GDP growth, however, the initial release
is an optimal forecast. Yet, given the results for disaggregated variables, the
averaging-out of biases and inefficiencies at the aggregate GDP level appears to
be good luck rather than good forecasting.
en
dc.format.extent
12 Seiten
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject
Real-Time Data
en
dc.subject
German National Accounts
en
dc.subject.ddc
300 Sozialwissenschaften::330 Wirtschaft::330 Wirtschaft
dc.title
Data revisions to German national accounts
dc.identifier.urn
urn:nbn:de:kobv:188-refubium-25147-7
dc.title.subtitle
are initial releases good nowcasts?
refubium.affiliation
Wirtschaftswissenschaft
refubium.resourceType.isindependentpub
yes
refubium.series.issueNumber
2019, 11 : Economics
refubium.series.name
Discussion paper / School of Business & Economics
dcterms.accessRights.dnb
free
dcterms.accessRights.openaire
open access