A New Monthly Synthetic Indicator Summarising the Business Climate of the French Service Sector
AbstractThe 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). 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 specific information with regard to the synthetic indicator of the business climate in the manufacturing industry and, therefore, contributes to the GDP forecast.
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Bibliographic InfoArticle provided by Institut National de la Statistique et des Etudes Economiques in its journal Economie et Statistique.
Volume (Year): 395-396 (2007)
Issue (Month): (January)
Business Tendency Surveys; Service Sectors; Dynamic Factor Analysis; Multifrequency Data;
Find related papers by JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- L80 - Industrial Organization - - Industry Studies: Services - - - General
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