Bridge Models for French GDP Growth Using Business-Survey Data (notice n° 468596)

détails MARC
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250121053606.0
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title fre
042 ## - AUTHENTICATION CODE
Authentication code dc
100 10 - MAIN ENTRY--PERSONAL NAME
Personal name Bessec, Marie
Relator term author
245 00 - TITLE STATEMENT
Title Bridge Models for French GDP Growth Using Business-Survey Data
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2010.<br/>
500 ## - GENERAL NOTE
General note 91
520 ## - SUMMARY, ETC.
Summary, etc. This paper discusses new bridge models for short-term forecasting of French quarterly GDP growth. The only data used are from business surveys in French manufacturing, services, and construction. We consider two alternative methods. The first relies on the general-to-specific (GETS) algorithm applied to blocks of randomly selected variables (Hendry and Krolzig, 2005); the other relies on the combination method popularized by Stock and Watson (2004). We conduct in-sample and out-of-sample assessments of both methods using recursive and rolling regressions. We show that the forecast based on an automatic regression-model selection (GETS) performs better, and that extending the database to business surveys in the service and construction sectors can be useful for short-term GDP forecasting.
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element forecast combination
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element model selection
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element GDP forecasting
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element business surveys
786 0# - DATA SOURCE ENTRY
Note Economie & prévision | o 193 | 2 | 2010-12-13 | p. 77-99 | 0249-4744
856 41 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://shs.cairn.info/journal-economie-et-prevision-1-2010-2-page-77?lang=en&redirect-ssocas=7080">https://shs.cairn.info/journal-economie-et-prevision-1-2010-2-page-77?lang=en&redirect-ssocas=7080</a>

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