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L’indicateur synthétique mensuel d’activité (ISMA) : une révision

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Author Info

  • DARNÉ, O.
  • BRUNHES-LESAGE, V.

Abstract

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.

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File URL: http://www.banque-france.fr/fileadmin/user_upload/banque_de_france/archipel/publications/bdf_bm/etudes_bdf_bm/bdf_bm_162_etu_1.pdf
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Bibliographic Info

Article provided by Banque de France in its journal Bulletin de la Banque de France.

Volume (Year): (2007)
Issue (Month): 162 ()
Pages: 21-36

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Handle: RePEc:bfr:bullbf:2007:162:01

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Postal: Banque de France 31 Rue Croix des Petits Champs LABOLOG - 49-1404 75049 PARIS
Web page: http://www.banque-france.fr/
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Related research

Keywords: Analyse conjoncturelle; prévision du PIB; étalonnages; données d’enquête.;

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  1. 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.
  2. 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.
  3. repec:fth:eeccco:154 is not listed on IDEAS
  4. 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 Monetary Affairs (DG ECFIN), European Commission.
  5. 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.
  6. 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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