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Optimal Provisional Estimation in Short-term Surveys

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  • Roberto Gismondi

    (Italian National Institute of Statistics)

Abstract

Timeliness is a driving feature of official statistics. In particular, in the short-term statistics framework usually a first provisional release is carried out on the basis of preliminary early respondents, followed by a final release based on late respondents as well. The revision is the difference (absolute or percent) between final and provisional estimates. In this context, according to a model assisted approach, we propose and compare some early estimation techniques aimed at reducing the average revision. Their properties are evaluated from a theoretical point of view and on the basis of an empirical attempt concerning the quarterly wholesale trade survey carried out by ISTAT (Italian National Statistical Institute) for the period 2003-2006, aimed at estimating changes along time of the quarterly average turnover.

Suggested Citation

  • Roberto Gismondi, 2009. "Optimal Provisional Estimation in Short-term Surveys," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 11(2-3), pages 5-34, January.
  • Handle: RePEc:isa:journl:v:11:y:2009:i:2-3:p:5-34
    as

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    References listed on IDEAS

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