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Retour vers le futur. Une analyse rétrospective des prévisions de MOSAÏQUE

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  • Alexandre Mathis
  • Andrew Brociner

Abstract

[fre] L'utilisation, pendant près de dix ans, du modèle trimestriel du département d'économétrie de l'OFCE permet de faire une rétrospective des erreurs de prévisions passées. Il s'agit, par une analyse statistique des erreurs, d'essayer d'en décrire les principales caractéristiques. Les erreurs sont-elles systématiques, biaisées ou encore expliquées par les erreurs sur d'autres variables, exogènes notamment. A quel horizon prévoit-on le mieux ? Les prévisions faites à l'aide d'un modèle économétrique surclassent-elles celles produites par un modèle naïf ? Il apparaît que la qualité des prévisions s'améliore fortement lorsque l'horizon de prévision se rapproche. Pour l'horizon de prévision le plus court, quelques variables sont systématiquement sous- estimées ou sur-estimées. Les variables que l'on prévoit le plus mal le sont aussi par tous les autres prévisionnistes. Cette étude montre également que les erreurs sur l'environnement international affectent uniquement les prévisions des horizons les plus éloignés et ceci pour un nombre restreint de variables. [eng] Back to the Future : an analysis of the forecasts errors of the MOSAÏQUE model Alexandre Mathis, Andrew Brociner This study analyzes past errors of the quarterly model of the Econometrics Department of the OFCE. We conduct a statistical analysis of errors to describe its principal features. Are the errors biased, systematic, or explained by other errors, especially of exogenous variables ? For which time horizons do we forecast best ? Dees the model perform better than a forecast made by a simple model ? These are the questions we pose and try to answer. We find that the quality of the forecast improves with the shortening of the time horizon. In the shortest time horizon, some variables systematically underestimate or over-estimate the actual values. The variables which are the most difficult to predict are the ones other forecasters also find difficult to predict. We find that errors of the international economy influence the forecasts of some variables for long time horizons.

Suggested Citation

  • Alexandre Mathis & Andrew Brociner, 1994. "Retour vers le futur. Une analyse rétrospective des prévisions de MOSAÏQUE," Revue de l'OFCE, Programme National Persée, vol. 49(1), pages 207-228.
    • Handle: RePEc:prs:rvofce:ofce_0751-6614_1994_num_49_1_1367
    DOI: 10.3406/ofce.1994.1367
    Note: DOI:10.3406/ofce.1994.1367
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    References listed on IDEAS

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    1. Henri Sterdyniak & Marie-Annick Boudier & Michel Boutillier & Françoise Charpin & Bruno Durand, 1984. "Le modèle trimestriel de l'OFCE," Revue de l'OFCE, Programme National Persée, vol. 9(1), pages 137-178.
    2. Pierre-Alain Muet, 1990. "La reprise de la croissance était-elle prévisible ?," Revue de l'OFCE, Programme National Persée, vol. 31(1), pages 67-90.
    3. Gérard Cornilleau & Alain Gubian, 1991. "Révisions successives des comptes nationaux et de l'emploi, quelques ordres de grandeurs," Revue de l'OFCE, Programme National Persée, vol. 35(1), pages 77-134.
    4. Alain Gubian & Gérard Cornilleau & Catherine Mathieu & Marie-Ange Veganzones, 1992. "Mosaïque : la nouvelle version du modèle OFCE trimestriel," Revue de l'OFCE, Programme National Persée, vol. 40(1), pages 141-200.
    5. Evelyne Hespel, 1990. "Analyse du processus prévisionnel de quelques instituts européens de conjoncture économique," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 126, pages 201-230.
    6. Catherine Doz & Pierre Malgrange, 1992. "Modèles VAR et prévisions à court terme," Économie et Prévision, Programme National Persée, vol. 106(5), pages 109-122.
    7. repec:hal:spmain:info:hdl:2441/1825 is not listed on IDEAS
    8. Karine Bouthevillain, 1993. "La prévision macro-économique : précision relative et consensus," Économie et Prévision, Programme National Persée, vol. 108(2), pages 97-126.
    9. Didier Borowski & Carine Bouthevillain & Catherine Doz & Pierre Malgrange & Pierre Morin, 1991. "Vingt ans de prévisions macro-économiques : une évaluation sur données françaises," Économie et Prévision, Programme National Persée, vol. 99(3), pages 43-65.
    10. repec:hal:spmain:info:hdl:2441/5273 is not listed on IDEAS
    11. Wallis, Kenneth F, 1989. "Macroeconomic Forecasting: A Survey," Economic Journal, Royal Economic Society, vol. 99(394), pages 28-61, March.
    12. Nelson, Charles R, 1972. "The Prediction Performance of the FRB-MIT-PENN Model of the U.S. Economy," American Economic Review, American Economic Association, vol. 62(5), pages 902-917, December.
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    1. Karine Bouthevillain & Alexandre Mathis, 1995. "Prévisions : mesures, erreurs et principaux résultats," Économie et Statistique, Programme National Persée, vol. 285(1), pages 89-100.

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