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Statistical Criteria to Manage Non-respondents’ Intensive Follow Up in Surveys Repeated along Time

Author

Listed:
  • Roberto Gismondi
  • Andrea Carone

    (Italian National Institute of Statistics
    Italian National Institute of Statistics)

Abstract

When carrying out statistical surveys, detecting non-respondent units to undergo Intensive Follow Up (IFU) to disseminate quality estimates represents an important though under estimated aspect that is often not deeply studied. We suggest to use a generalised score function to quantify the risk related to the failed use of all the sample units for calculations together with techniques aiming at detecting IFU units through significance tests or methods – either parametric or not – based on acceptance thresholds. We also present an exercise related to a panel of industrial enterprises.

Suggested Citation

  • Roberto Gismondi & Andrea Carone, 2008. "Statistical Criteria to Manage Non-respondents’ Intensive Follow Up in Surveys Repeated along Time," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 10(1), pages 5-29, October.
    • Handle: RePEc:isa:journl:v:10:y:2008:i:1:p:5-29
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    References listed on IDEAS

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    1. Enrico Fabrizi & Maria Rosaria Ferrante & Silvia Pacei, 2008. "Measuring Sub‐National Income Poverty By Using A Small Area Multivariate Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 54(4), pages 597-615, December.
    2. Jiang, Jiming & Lahiri, P., 2006. "Estimation of Finite Population Domain Means: A Model-Assisted Empirical Best Prediction Approach," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 301-311, March.
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    More about this item

    Keywords

    Bias ratio; Pseudo bias; Response burden; Score function;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

    Statistics

    Access and download statistics

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