L’indicateur synthétique mensuel d’activité (ISMA) : une révision
L’ISMA est un des principaux outils de diagnostic conjoncturel de la Banque de France. Publié chaque mois, il estime la croissance du PIB français pour le prochain trimestre, en se basant sur les données d’enquêtes de la Banque de France.
Volume (Year): (2007)
Issue (Month): 162 ()
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Web page: http://www.banque-france.fr/
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References listed on IDEAS
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.:
- Jennifer L. Castle, 2005. "Evaluating PcGets and RETINA as Automatic Model Selection Algorithms," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 837-880, December.
- Peter Grasmann & Filip Keereman, 2001. "An indicator-based short-term forecast for quarterly GDP in the euro area," European Economy - Economic Papers 154, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
- Kevin D. Hoover & Stephen J. Perez, 1999.
"Data mining reconsidered: encompassing and the general-to-specific approach to specification search,"
Royal Economic Society, vol. 2(2), pages 167-191.
- Kevin D. Hoover & Stephen J. Perez, . "Data Mining Reconsidered: Encompassing And The General-To-Specific Approach To Specification Search," Department of Economics 97-27, California Davis - Department of Economics.
- Kevin Hoover & Stephen J. Perez, 2003. "Data Mining Reconsidered: Encompassing And The General-To-Specific Approach To Specification Search," Working Papers 9727, University of California, Davis, Department of Economics.
- Godfrey, Leslie G, 1978. "Testing for Higher Order Serial Correlation in Regression Equations When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1303-10, November.
- Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
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