Economics at your fingertips  

Predictions vs. Preliminary Sample Estimates: The Case of Eurozone Quarterly GDP

D’Elia Enrico ()
Additional contact information
D’Elia Enrico: Italian Ministry of Economy and Finance, via XX Settember, 97, Rome 00187 and ISTAT, via Cesare Balbo, 16, Rome 00186, Italy

Authors registered in the RePEc Author Service: Enrico D'Elia ()

Journal of Official Statistics, 2014, vol. 30, issue 3, 22

Abstract: Economic agents are aware of incurring a loss in basing their decisions on their own extrapolations instead of on sound statistical data, but this loss may be smaller than the one related to waiting for the dissemination of the final data. Broad guidelines on deciding when statistical offices should release preliminary and final estimates of the key statistics may come from comparing the loss attached to users’ predictions with the loss associated to possible preliminary estimates from incomplete samples. Furthermore, the cost of delaying decisions may support the dissemination of very early estimates of economic indicators, even if their accuracy is not fully satisfactory from a strict statistical viewpoint. Analysing the vintages of releases of quarterly Euro area GDP supports the view that even very inefficient predictions may beat some official preliminary releases of GDP, suggesting that the current calendar of data dissemination requires some adjustment. In particular, actual “flash” estimates could be anticipated, while some later intermediate releases are likely less informative for the users.

Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (text/html)

Related works:
Working Paper: Predictions vs. preliminary sample estimates: the case of eurozone quarterly GDP (2014) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

DOI: 10.2478/jos-2014-0031

Access Statistics for this article

Journal of Official Statistics is currently edited by Annica Isaksson and Ingegerd Jansson

More articles in Journal of Official Statistics from Sciendo
Bibliographic data for series maintained by Peter Golla ().

Page updated 2023-04-25
Handle: RePEc:vrs:offsta:v:30:y:2014:i:3:p:22:n:10