Result: Information integration for constructing social statistics : history, theory and ideas towards a research programme

Title:
Information integration for constructing social statistics : history, theory and ideas towards a research programme
Authors:
Source:
Journal of the Royal Statistical Society. Series A. Statistics in society (Print). 170:483-501
Publisher Information:
Oxford: Blackwell, 2007.
Publication Year:
2007
Physical Description:
print, 2 p.1/4 2
Original Material:
INIST-CNRS
Subject Terms:
Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Probabilités et statistiques, Probability and statistics, Statistiques, Statistics, Théorie de l'échantillonnage, sondages statistiques, Sampling theory, sample surveys, Applications, Biologie, psychologie, sciences sociales, Biology, psychology, social sciences, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Systèmes d'information. Bases de données, Information systems. Data bases, Assurance, Insurance, Seguro, Base donnée, Database, Base dato, Chômage, Unemployment, Desempleo, Echantillonnage, Sampling, Muestreo, Estimation erreur, Error estimation, Estimación error, Incertitude, Uncertainty, Incertidumbre, Intégration information, Information integration, Integración información, Modélisation, Modeling, Modelización, Méthode statistique, Statistical method, Método estadístico, Pauvreté, Poverty, Pobreza, Soin, Care, Cuidado, Sondage statistique, Sample survey, Ecuesta estadística, Système information géographique, Geographic information system, Sistema información geográfica, Dossier administratif, Administrative record, Variable latente, Latent value, Administrative records, Geographic information systems, Latent variables, Modelling, Survey sampling
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
US Census Bureau, Washington DC, United States
ISSN:
0964-1998
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Mathematics
Accession Number:
edscal.18616864
Database:
PASCAL Archive

Further Information

More precise policy making at all levels of government has fuelled tremendous demand for small area data-smaller than ever before. At the same time, there has been an unprecedented accumulation of data in geographic information systems, administrative records databases and more sophisticated survey sampling schemes. Researchers and practitioners have been trying to combine these diverse sources of data. But how should these diverse sources of data be combined in a way that is policy relevant and statistically principled? The paper illustrates these questions with several example applications at the state, county and local level: emerging geographic information systems databases, the need for estimates of small area income, poverty, demographic and uninsurance data by health authorities, and how administrative records databases (such as licensed day care facilities, traffic counts and unemployment insurance records) are being harvested for their information content. Finally, the paper proposes approaches for integrating these diverse sources of data with different error, uncertainty and quality profiles, and surveys persistent challenges in this area.