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020 _a979-12-215-0106-3.20
020 _a9791221501063
024 7 _a10.36253/979-12-215-0106-3.20
_2doi
040 _aoapen
_coapen
041 0 _aeng
042 _adc
072 7 _aJ
_2bicssc
100 1 _aDaddi, Stefano
_4auth
_91657915
245 1 0 _aChapter New perspectives for the quality of sub-municipal data with the Italian permanent population and housing census
260 _aFlorence
_bFirenze University Press, Genova University Press
_c2023
300 _a1 electronic resource (6 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aProceedings e report
_v134
506 0 _aOpen Access
_fUnrestricted online access
_2star
520 _aOver the years, official statistics have shown increasing attention to the territory in providing detailed and quality information and, in this sense, the Population and Housing Census has always guaranteed the availability of sub-municipal data useful for decision-making processes in the social, economic and environmental fields. The Istat modernization programme introduced the Permanent Census that, differently from the traditional decennial census essentially drew on collecting data from people, is strongly based on the integration of administrative and sample data, and planned for providing yearly statistical figures. This change requires new methodological and IT architectures. It is a revolution that - on the medium term - is expected to provide more stable and coherent figures at various territorial levels.In this framework, sub-municipal data derives from the integration of the Basic Register of Individuals and the Basic Register of Places. The quality of data depends on the quality of the Registers and the procedures adopted to integrate and elaborate input data. In this regard, Istat is working to improve the geocoding information and linkage procedures. One of the problem encountered is that of non-geocoded units. These are units without an allocation into an enumeration area because of problems in administrative data. Istat has studied a procedure integrating deterministic and probabilistic approaches for assigning the enumeration area to those critical units. An experimental study is carried out to evaluate the quality of the imputation procedure. In this paper, we discuss the approach adopted, the evaluation process, the results obtained and the impact on the quality of the data and the spatial analyses that can be carried out.
540 _aCreative Commons
_fhttps://creativecommons.org/licenses/by/4.0/
_2cc
_uhttps://creativecommons.org/licenses/by/4.0/
546 _aEnglish
650 7 _aSociety & social sciences
_2bicssc
_9102798
653 _aadministrative data
653 _adata quality
653 _aenumeration area
653 _ageo-coding
653 _amissing data
653 _apopulation census
653 _astatistical registers
700 1 _aCarbonetti, Giancarlo
_4auth
_91657916
700 1 _aDe Matteis, Giampaolo
_4auth
_91657917
700 1 _aDi Zio, Marco
_4auth
_91657918
700 1 _aFardelli, Davide
_4auth
_91657919
700 1 _aGalliera, Raffaele
_4auth
_91657920
700 1 _aLipizzi, Fabio
_4auth
_91657921
700 1 _aOrsini, Enrico
_4auth
_91657922
773 1 _tASA 2022 Data-Driven Decision Making
_7nnaa
_oOAPEN Library UUID: 863aa499-dbee-4191-9a14-3b5d5ef9e635
793 0 _aOAPEN Library.
856 4 0 _uhttps://library.oapen.org/bitstream/id/0d46dda9-e0ec-48d8-84f3-9c4927477baa/9791221501063-20.pdf
_70
_zOpen Access: OAPEN Library, download the publication
856 4 0 _uhttps://library.oapen.org/handle/20.500.12657/74892
_70
_zOpen Access: OAPEN Library: description of the publication
999 _c3089134
_d3089134