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dc.contributor.author | De Gaetano, Loredana | es_ES |
dc.contributor.author | Fazzi, Gabriella | es_ES |
dc.contributor.author | Liani, Serena | es_ES |
dc.date.accessioned | 2024-01-10T12:29:50Z | |
dc.date.available | 2024-01-10T12:29:50Z | |
dc.date.issued | 2023-09-22 | |
dc.identifier.isbn | 9788413960869 | |
dc.identifier.uri | http://hdl.handle.net/10251/201706 | |
dc.description.abstract | [EN] In order to improve the process of territorial data collection for the Consumer Price Survey, the Data Collection Directorate of the Italian Institute of Statistics (Istat), in collaboration with the Istat experts, has undertaken a survey of the Municipality Statistics Managers who did not take part in the process. Listening to the point of view of the stakeholders who are directly involved in the data collection process is a necessary starting point for a analysis of the design of a territorial survey. In fact, it prevents solutions being imposed from above, which could be ineffective, far from the real needs of those who are asked to collect reliable and timely data. The information gathered allows the planning of changes in terms of a modernization of the data collection mode and a leveraging of new data sources (administrative and big data). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023) | |
dc.rights | Reconocimiento - No comercial - Compartir igual (by-nc-sa) | es_ES |
dc.subject | Data collection | es_ES |
dc.subject | Mixed-mode | es_ES |
dc.subject | New data sources | es_ES |
dc.title | Analysing the process of territorial data collection for the Consumer Price Survey | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | De Gaetano, L.; Fazzi, G.; Liani, S. (2023). Analysing the process of territorial data collection for the Consumer Price Survey. Editorial Universitat Politècnica de València. 85-86. http://hdl.handle.net/10251/201706 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | CARMA 2023 - 5th International Conference on Advanced Research Methods and Analytics | es_ES |
dc.relation.conferencedate | Junio 28-30, 2023 | es_ES |
dc.relation.conferenceplace | Sevilla, España | es_ES |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/CARMA/CARMA2023/paper/view/16438 | es_ES |
dc.description.upvformatpinicio | 85 | es_ES |
dc.description.upvformatpfin | 86 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\16438 | es_ES |