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Estimation précoce de la croissance

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  • Françoise Charpin

    (OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

Abstract

In this paper, nowcasts are provided by a factor model, where factors are extracted from a small number of monthly series, selected using the LARS algorithm (Least Angle Regression). We follow the work of Bai and Ng (2008) which contrasts strongly with the traditional factor model based on a large information set. They recommend selecting only targeted predictors, i.e. the most informative series to forecast growth. A pseudo real time analysis is carried out to estimate French growth over the period 2001-2007.

Suggested Citation

  • Françoise Charpin, 2009. "Estimation précoce de la croissance," SciencePo Working papers Main hal-03476082, HAL.
    • Handle: RePEc:hal:spmain:hal-03476082
    DOI: 10.3917/reof.108.0031
    Note: View the original document on HAL open archive server: https://hal-sciencespo.archives-ouvertes.fr/hal-03476082
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    References listed on IDEAS

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    1. Catherine Doz & Domenico Giannone & Lucrezia Reichlin, 2012. "A Quasi–Maximum Likelihood Approach for Large, Approximate Dynamic Factor Models," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1014-1024, November.
    2. Bai, Jushan & Ng, Serena, 2008. "Forecasting economic time series using targeted predictors," Journal of Econometrics, Elsevier, vol. 146(2), pages 304-317, October.
    3. Bair, Eric & Hastie, Trevor & Paul, Debashis & Tibshirani, Robert, 2006. "Prediction by Supervised Principal Components," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 119-137, March.
    4. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    5. Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
    6. Jushan Bai & Serena Ng, 2006. "Confidence Intervals for Diffusion Index Forecasts and Inference for Factor-Augmented Regressions," Econometrica, Econometric Society, vol. 74(4), pages 1133-1150, July.
    7. Boivin, Jean & Ng, Serena, 2006. "Are more data always better for factor analysis?," Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
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