Score functions and statistical criteria to manage intensive follow up in business surveys
In the frame of a statistical survey, the identification of non respondent units thatshould be object with priority of a reminder action (Intensive Follow Up - IFU), with the aimto produce enough good estimates, represents a relevant, but quite not deeply analysed methodological aspect. In this cont...
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University of Bologna
2013-05-01
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| Series: | Statistica |
| Online Access: | http://rivista-statistica.unibo.it/article/view/3496 |
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doaj-b122a2a15e30494796157053101b45652020-11-24T22:55:24ZengUniversity of BolognaStatistica0390-590X1973-22012013-05-01671275410.6092/issn.1973-2201/34963243Score functions and statistical criteria to manage intensive follow up in business surveysRoberto Gismondi0ISTAT, Italian National Statistical InstituteIn the frame of a statistical survey, the identification of non respondent units thatshould be object with priority of a reminder action (Intensive Follow Up - IFU), with the aimto 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 dangerousthe exclusion from calculations of each unit. Moreover, we evaluate and compare somecriteria aimed at identifying IFU units by means of suitable statistical tests or thresholdsderived by parametric or non parametric methods. A comparative empirical applicationon a panel of Italian retail trade businesses has been carried out and commented.http://rivista-statistica.unibo.it/article/view/3496 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Roberto Gismondi |
| spellingShingle |
Roberto Gismondi Score functions and statistical criteria to manage intensive follow up in business surveys Statistica |
| author_facet |
Roberto Gismondi |
| author_sort |
Roberto Gismondi |
| title |
Score functions and statistical criteria to manage intensive follow up in business surveys |
| title_short |
Score functions and statistical criteria to manage intensive follow up in business surveys |
| title_full |
Score functions and statistical criteria to manage intensive follow up in business surveys |
| title_fullStr |
Score functions and statistical criteria to manage intensive follow up in business surveys |
| title_full_unstemmed |
Score functions and statistical criteria to manage intensive follow up in business surveys |
| title_sort |
score functions and statistical criteria to manage intensive follow up in business surveys |
| publisher |
University of Bologna |
| series |
Statistica |
| issn |
0390-590X 1973-2201 |
| publishDate |
2013-05-01 |
| description |
In the frame of a statistical survey, the identification of non respondent units thatshould be object with priority of a reminder action (Intensive Follow Up - IFU), with the aimto 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 dangerousthe exclusion from calculations of each unit. Moreover, we evaluate and compare somecriteria aimed at identifying IFU units by means of suitable statistical tests or thresholdsderived by parametric or non parametric methods. A comparative empirical applicationon a panel of Italian retail trade businesses has been carried out and commented. |
| url |
http://rivista-statistica.unibo.it/article/view/3496 |
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