Why calculate a business sentiment indicator for services?
AbstractEvery month, the Banque de France’s Monthly Business Survey provides a business sentiment indicator for industry. A similar indicator has been constructed for services using a comparable method that consists in extracting a factor of change that is common to all the questions in the monthly survey on services.
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Bibliographic InfoArticle provided by Banque de France in its journal Quarterly selection of articles - bulletin de la Banque de France.
Volume (Year): (2008)
Issue (Month): 13 (Autumn)
business conditions analysis; survey data; services; interpolation; principal components.;
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- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Roberto S. Mariano & Yasutomo Murasawa, 2003. "A new coincident index of business cycles based on monthly and quarterly series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 427-443.
- Angelini, Elena & Henry, Jerome & Marcellino, Massimiliano, 2006.
"Interpolation and backdating with a large information set,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 30(12), pages 2693-2724, December.
- Angelini, Elena & Henry, Jérôme & Marcellino, Massimiliano, 2003. "Interpolation and backdating with a large information set," Working Paper Series 0252, European Central Bank.
- Angelini, Elena & Henry, Jérôme & Marcellino, Massimiliano, 2004. "Interpolation and Backdating with A Large Information Set," CEPR Discussion Papers 4533, C.E.P.R. Discussion Papers.
- Gomez, Victor & Maravall, Agustin & Pena, Daniel, 1998. "Missing observations in ARIMA models: Skipping approach versus additive outlier approach," Journal of Econometrics, Elsevier, vol. 88(2), pages 341-363, November.
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