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Score funcions and statistical criteria to manage intensive follow up in business surveys

Listed author(s):
  • Roberto Gismondi


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    In the frame of a statistical survey, the identification of non respondent units that should be object with priority of a reminder action (Intensive Follow Up - IFU), with the aim to produce enough good estimates, represents a relevant, but quite not deeply analysed methodological aspect. In this context, we propose and compare some score functions - that can be all reconnected to a generalised function – evaluating how much is dangerous the exclusion from calculations of each unit. Moreover, we evaluate and compare some criteria aimed at identifying IFU units by means of suitable statistical tests or thresholds derived by parametric or non parametric methods. A comparative empirical application on a panel of Italian retail trade businesses has been carried out and commented.

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    Article provided by Department of Statistics, University of Bologna in its journal STATISTICA.

    Volume (Year): 67 (2007)
    Issue (Month): 1 ()
    Pages: 27-54

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    Handle: RePEc:bot:rivsta:v:67:y:2007:i:1:p:27-54
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