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How reliable are the output gap measures: a statistical and structural investigation for france

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  • Sarfaraz Ali Shah Syed

    (University of Lille 1)

Abstract

This paper tests the reliability of the output gap measures using both the statistical and the structural methodologies. We use quarterly GDP data for the case of France over the period of 1960:Q1 – 2010:Q4. A number of statistical methods including Linear Detrending,Moving averages, Hodrick & Prescott filter, Baxter-King detrending and the unobserved Component method (Kalman filter); and some structural approaches including Production function approach, and the Structural Autoregression (SVAR) with some augmentation on our part, are used to estimate the potential GDP and in turn the output gap. We find interesting results and some significant differences between the outcomes of the statistical and structural methods. Our results pose serious questions on the reliability of the output gap measures used contemporarily in various studies. We find that a change of estimation method may result in significant variations in the results of various economic models using output gap data.

Suggested Citation

  • Sarfaraz Ali Shah Syed, 2011. "How reliable are the output gap measures: a statistical and structural investigation for france," Economics Bulletin, AccessEcon, vol. 31(4), pages 1-46.
    • Handle: RePEc:ebl:ecbull:eb-11-00708
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    More about this item

    Keywords

    Output gap; Potential output; production function;
    All these keywords.

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment

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