Giancarlo Carbonetti, Giampaolo De Matteis, Marco Di Zio, Fardelli Davide, Ferrara Raffaele, Lipizzi Fabio
{"title":"意大利常住人口和住房普查中产生次市级数据的枚举面积估算方法","authors":"Giancarlo Carbonetti, Giampaolo De Matteis, Marco Di Zio, Fardelli Davide, Ferrara Raffaele, Lipizzi Fabio","doi":"10.3233/sji-220113","DOIUrl":null,"url":null,"abstract":"Over the years, official statistics have shown an increasing territorial focus on providing detailed and quality information. The Population and Housing Census has always ensured the availability of sub-municipal data useful for social, economic, and environmental decision-making processes. The new Italian Permanent Census focuses heavily on the integration of administrative and sample data and plans to provide more stable and consistent statistical data at the various territorial levels every year. Within this framework, sub-municipal data are derived from the integration of the Base Register of Individuals and the Base Register of Places. Data accuracy depends on the quality of the registers and the procedures adopted to integrate and process the input data. In this regard, Istat is working to improve geocoding information and linking procedures. One of the problems encountered is the presence of non-geocoded units due to problems in the administrative data. Istat has studied a procedure that integrates deterministic and probabilistic approaches to assign the enumeration area code to these critical units. It was conducted an experimental study to assess the quality of the imputation procedure. In this paper, we discuss the approach adopted, the evaluation process, the results obtained, and the impact on data quality.","PeriodicalId":55877,"journal":{"name":"Statistical Journal of the IAOS","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enumeration area imputation methods for producing sub-municipal data in the Italian permanent population and housing census\",\"authors\":\"Giancarlo Carbonetti, Giampaolo De Matteis, Marco Di Zio, Fardelli Davide, Ferrara Raffaele, Lipizzi Fabio\",\"doi\":\"10.3233/sji-220113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Over the years, official statistics have shown an increasing territorial focus on providing detailed and quality information. The Population and Housing Census has always ensured the availability of sub-municipal data useful for social, economic, and environmental decision-making processes. The new Italian Permanent Census focuses heavily on the integration of administrative and sample data and plans to provide more stable and consistent statistical data at the various territorial levels every year. Within this framework, sub-municipal data are derived from the integration of the Base Register of Individuals and the Base Register of Places. Data accuracy depends on the quality of the registers and the procedures adopted to integrate and process the input data. In this regard, Istat is working to improve geocoding information and linking procedures. One of the problems encountered is the presence of non-geocoded units due to problems in the administrative data. Istat has studied a procedure that integrates deterministic and probabilistic approaches to assign the enumeration area code to these critical units. It was conducted an experimental study to assess the quality of the imputation procedure. In this paper, we discuss the approach adopted, the evaluation process, the results obtained, and the impact on data quality.\",\"PeriodicalId\":55877,\"journal\":{\"name\":\"Statistical Journal of the IAOS\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Statistical Journal of the IAOS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/sji-220113\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistical Journal of the IAOS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/sji-220113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
Enumeration area imputation methods for producing sub-municipal data in the Italian permanent population and housing census
Over the years, official statistics have shown an increasing territorial focus on providing detailed and quality information. The Population and Housing Census has always ensured the availability of sub-municipal data useful for social, economic, and environmental decision-making processes. The new Italian Permanent Census focuses heavily on the integration of administrative and sample data and plans to provide more stable and consistent statistical data at the various territorial levels every year. Within this framework, sub-municipal data are derived from the integration of the Base Register of Individuals and the Base Register of Places. Data accuracy depends on the quality of the registers and the procedures adopted to integrate and process the input data. In this regard, Istat is working to improve geocoding information and linking procedures. One of the problems encountered is the presence of non-geocoded units due to problems in the administrative data. Istat has studied a procedure that integrates deterministic and probabilistic approaches to assign the enumeration area code to these critical units. It was conducted an experimental study to assess the quality of the imputation procedure. In this paper, we discuss the approach adopted, the evaluation process, the results obtained, and the impact on data quality.
期刊介绍:
This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.