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Revisions to the Czech National Accounts: Properties and Predictability

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  • Marek RUSNAK

    (Czech National Bank and Charles University, Prague)

Abstract

Frequent revisions to GDP and its components cause policymakers to face considerable uncertainty about the current state of the economy. In this paper, we provide stylized facts about the magnitude of revisions to the Czech national accounts. Using data over the 2003–2012 period, we find that the revisions are rather large. Revisions to real GDP growth are on average 1.4 for the annualized quarterly growth rate and 0.7 percentage points for the annual growth rate. Revisions to other variables are even larger: the average size of the revisions ranges from 1 to 12 percentage points for annualized quarterly growth rates and from 0.5 to 4 percentage points for annual growth rates. We investigate whether the revisions could have been predicted using the information available at the time of announcement. We find evidence for in-sample predictability for most of the variables, suggesting that the first releases of these variables are not efficient predictors of the actual values. In a real-time out-of-sample exercise, however, we find that the revisions to real GDP, gross fixed capital formation, and government consumption are not predictable. Only revisions to the GDP deflator can be predicted with substantial gains relative to zero-revisions forecasts.

Suggested Citation

  • Marek RUSNAK, 2013. "Revisions to the Czech National Accounts: Properties and Predictability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(3), pages 244-261, July.
  • Handle: RePEc:fau:fauart:v:63:y:2013:i:3:p:244-261
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Jan Capek, 2014. "Historical Analysis of Monetary Policy Reaction Functions: Do Real-Time Data Matter?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(6), pages 457-475, December.
    2. repec:cnb:ocpubv:rb11/2 is not listed on IDEAS
    3. repec:cnb:ocpubv:rb13/1 is not listed on IDEAS
    4. Rusnák, Marek, 2016. "Nowcasting Czech GDP in real time," Economic Modelling, Elsevier, vol. 54(C), pages 26-39.
    5. repec:cnb:ocpubv:rb12/1 is not listed on IDEAS
    6. repec:cnb:ocpubv:rb12/2 is not listed on IDEAS
    7. repec:cnb:ocpubv:rb13/2 is not listed on IDEAS
    8. Martin Slanicay & Jan Čapek & Miroslav Hloušek, 2016. "Some Notes On Problematic Issues In Dsge Models," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 61(210), pages 79-100, July - Se.
    9. Capek Jan, 2015. "Estimating DSGE model parameters in a small open economy: Do real-time data matter?," Review of Economic Perspectives, Sciendo, vol. 15(1), pages 89-114, March.

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    More about this item

    Keywords

    national accounts; revisions; vintage data;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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