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Etalonnages du taux de croissance du PIB français sur la base des enquêtes de conjoncture

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  • Marie Bessec

Abstract

This paper discusses new bridge models for short-term forecasting of French quarterly GDP growth. The only data used are from business surveys in French manufacturing, services, and construction. We consider two alternative methods. The first relies on the general-to-specific (GETS) algorithm applied to blocks of randomly selected variables (Hendry and Krolzig, 2005) ; the other relies on the combination method popularized by Stock and Watson (2004). We conduct in-sample and out-of-sample assessments of both methods using recursive and rolling regressions. We show that the forecast based on an automatic regression-model selection (GETS) performs better, and that extending the database to business surveys in the service and construction sectors can be useful for short-term GDP forecasting.

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  • Marie Bessec, 2010. "Etalonnages du taux de croissance du PIB français sur la base des enquêtes de conjoncture," Economie & Prévision, La Documentation Française, vol. 0(2), pages 77-99.
    • Handle: RePEc:cai:ecoldc:ecop_193_0077
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    1. Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017. "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, vol. 64(C), pages 26-39.
    2. Bec, Frédérique & Mogliani, Matteo, 2015. "Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1021-1042.
    3. Luboš Marek & Stanislava Hronová & Richard Hindls, 2019. "Možnosti odhadů krátkodobých makroekonomických agregátů na základě výsledků konjunkturních průzkumů [Possibilities of Estimations of Short-term Macroeconomic Aggregates Based on Business Survey Res," Politická ekonomie, Prague University of Economics and Business, vol. 2019(4), pages 347-370.

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