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Nowcasting Austrian Short Term Statistics

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  • Fröhlich Markus

    (Statistics Austria, Guglgasse 13, 1140Vienna, Austria.)

Abstract

Early estimates for Austrian short term indices were produced using multivariate time-series models. The article presents a simulation study with different models (vector error correction models, vector autoregressive models in levels – both with unadjusted and seasonally adjusted time-series) used for estimating total turnover, production, etc. In a preliminary step, before time-series were provided for nowcasting, the data had to undergo an editing process. In this case a time-series approach was selected for data-editing as well, because of the very specific structure of Austrian enterprises. For this task basically the seasonal adjustment program X13Arima-Seats was used for identifying and replacing outlying observations, imputation of missing values and generating univariate forecasts for every single time series.

Suggested Citation

  • Fröhlich Markus, 2018. "Nowcasting Austrian Short Term Statistics," Journal of Official Statistics, Sciendo, vol. 34(2), pages 503-522, June.
    • Handle: RePEc:vrs:offsta:v:34:y:2018:i:2:p:503-522:n:11
    DOI: 10.2478/jos-2018-0023
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    References listed on IDEAS

    as
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