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Un nouvel indicateur synthétique mensuel résumant le climat des affaires dans les services en France

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  • Matthieu Cornec
  • Thierry Deperraz

Abstract

[fre] Le nouvel indicateur synthétique mensuel présenté dans cet article constitue un résumé de l'information contenue dans l'enquête de conjoncture dans les services. Il est obtenu par extraction d'un signal commun à trois séries de fréquence mensuelle et trois de fréquence trimestrielle. L'approche retenue pour le construire relève du cadre de l'analyse factorielle dynamique. L'indicateur synthétique est le résultat de l'estimation d'un modèle à composantes inobservables. L'indicateur synthétique peut être appliqué aux trois sous-secteurs couverts par l'enquête de conjoncture dans les services (services aux entreprises, services aux particuliers et activités immobilières). Son examen confirme la reprise de l'activité dans l'ensemble des services à partir de la mi-2003. Cette reprise apparaît hésitante au deuxième semestre 2004 et semble s'essouffler début 2005. Cet indicateur peut être utilisé par le conjoncturiste pour actualiser sa prévision de la production trimestrielle de services au mois le mois et non plus seulement au trimestre le trimestre. En outre, il contient une information spécifique par rapport à l'indicateur synthétique du climat des affaires dans l'industrie manufacturière et contribue ainsi à la prévision du Pib. [spa] Un nuevo indicador sintético mensual que resume el clima económico en los servicios en Francia. El nuevo indicador sintético mensual presentado en este artículo constituye un resumen de la información contenida en la encuesta de coyuntura en los servicios. Éste se obtuvo mediante extracción de una señal común a tres series de frecuencia mensual y tres de frecuencia trimestral. El enfoque aceptado para su elaboración resulta del marco del análisis factorial dinámico. El indicador sintético es el resultado de la estimación de un modelo de componentes inobservables. El indicador sintético puede aplicarse a los tres subsectores cubiertos por la encuesta de coyuntura en los servicios (servicios a empresas, a particulares y actividades inmobiliarias). Su examen confi rma la reanudación de la actividad en el conjunto de los servicios a partir de mediados 2003. Esta reanudación se presenta vacilante en el segundo semestre 2004 y parece sofocarse a principios 2005. El analista puede servirse del indicador para actualizar su previsión de la producción trimestral de servicios mes a mes y no únicamente trimestre a trimestre. Además, contiene información específi ca con relación al indicador sintético del clima económico en la industria manufacturera, contribuyendo así a la previsión del P. I. B. [ger] Ein neuer synthetischer Monatsindikator für das Geschäftsklima in Frankreich. Der in diesem Artikel vorgestellte neue synthetische Monatsindikator stellt eine Zusammenfassung der Informationen aus der Konjunkturerhebung für den Dienstleistungssektor dar. Man erhält ihn durch Extraktion eines Signals, das drei Reihen von Monatsfrequenzen und drei Reihen von Quartalsfrequenzen gemeinsam ist. Der zu seiner Erstellung gewählte Ansatz ist Teil der dynamischen Faktoranalyse. Der synthetische Indikator ist das Ergebnis der Schätzung eines Modells mit nicht beobachtbaren Bestandteilen. Der synthetische Indikator kann bei drei Untersektoren der Konjunkturerhebung im Dienstleistungssektor (unternehmensbezogene Dienstleistungen, Dienstleistungen für Privatpersonen und Grundstücks-und Wohnungswesen) angewandt werden. Die Analyse dieses Indikators bestätigt den Aufschwung im gesamten Dienstleistungssektor seit Mitte 2003. Dieser Aufschwung ist im zweiten Halbjahr 2004 verhalten und scheint sich Anfang 2005 zu verlangsamen. Mit dem Indikator können die Konjunkturforscher ihre Prognosen der vierteljährlichen Erbringung von Dienstleistungen monatlich und nicht nur wie bislang vierteljährlich aktualisieren. Außerdem enthält er spezielle Informationen im Hinblick auf den synthetischen Indikator des Geschäftsklimas im verarbeitenden Gewerbe und trägt somit zur Vorausschätzung des BIP bei. [eng] A New Monthly Synthetic Indicator Summarising the Business Climate of the French Service Sector. The new monthly synthetic indicator proposed in this article summarizes the information contained in the French services business survey. It is obtained by extracting a signal common to three monthly series and to three quarterly series. The approach used in its construction falls within the scope of dynamic factor analysis. The synthetic indicator is the result of an estimation of an unobservable components model. The synthetic indicator can be applied to three sub-sectors covered by the services business survey (business services, household services and real estate activities). Examination of the indicator confi rms the recovery of activity in all of these services since mid-2003. The recovery appeared hesitant during the second quarter of 2004 and seemed to run out of steam at the beginning of 2005. An economic analyst can use the indicator to update a forecast of quarterly service production not just from one quarter to the next but also from month to month. Furthermore, it contains specifi c information with regard to the synthetic indicator of the business climate in the manufacturing industry and, therefore, contributes to the GDP forecast.

Suggested Citation

  • Matthieu Cornec & Thierry Deperraz, 2006. "Un nouvel indicateur synthétique mensuel résumant le climat des affaires dans les services en France," Économie et Statistique, Programme National Persée, vol. 395(1), pages 13-38.
  • Handle: RePEc:prs:ecstat:estat_0336-1454_2006_num_395_1_7130
    DOI: 10.3406/estat.2006.7130
    Note: DOI:10.3406/estat.2006.7130
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    2. Fondeur, Y. & Karamé, F., 2013. "Can Google data help predict French youth unemployment?," Economic Modelling, Elsevier, vol. 30(C), pages 117-125.
    3. Karim Barhoumi & Olivier Darné & Laurent Ferrara, 2014. "Dynamic factor models: A review of the literature," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 73-107.

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