FILOSOFI, a new administrative data source on income poverty at local level in France

2017 ◽  
Vol 33 (3) ◽  
pp. 593-601
Author(s):  
Luc Brière
Keyword(s):  
Administrative Data ◽  
Local Level ◽  
Income Poverty ◽  
Administrative Data Source ◽  
Data Source

scholarly journals Models for Combining Aggregate-Level Administrative Data in the Absence of a Traditional Census

2015 ◽  
Vol 31 (3) ◽  
pp. 431-451 ◽  
Author(s):  
Dilek Yildiz ◽  
Peter W.F. Smith
Keyword(s):  
Administrative Data ◽  
Census Data ◽  
Geographical Area ◽  
Population Data ◽  
Population Characteristics ◽  
Data Sources ◽  
Aggregate Level ◽  
Administrative Data Source ◽  
Data Source ◽  
Population Counts

Abstract Administrative data sources are an important component of population data collection and they have been used in census data production in the Nordic countries since the 1960s. A large amount of information about the population is already collected in administrative data sources by governments. However, there are some challenges to using administrative data sources to estimate population counts by age, sex, and geographical area as well as population characteristics. The main limitation with the administrative data sources is that they only collect information from a subset of the population about specific events, and this may result in either undercoverage or overcoverage of the population. Another issue with the administrative data sources is that the information may not have the same quality for all population groups. This research aims to correct an inaccurate administrative data source by combining aggregate-level administrative data with more accurate marginal distributions or two-way marginal information from an auxiliary data source and produce accurate population estimates in the absence of a traditional census. The methodology developed is applied to estimate population counts by age, sex, and local authority area in England and Wales. The administrative data source used is the Patient Register which suffers from overcoverage, particularly for people between the ages of 20 and 50.

scholarly journals Use of Administrative Data for Waste Statistics in the Czech Republic

2021 ◽  
Vol 101 (4) ◽  
pp. 445-449
Author(s):  
Marie Boušková ◽  
Tomáš Harák
Keyword(s):  
Czech Republic ◽  
Administrative Data ◽  
Reporting System ◽  
Original Method ◽  
Municipal Waste ◽  
Environmental Reporting ◽  
The Czech Republic ◽  
Administrative Data Source ◽  
Data Source ◽  
Definition Of

The Czech Statistical Office (CZSO) changed the calculation of the total volume of waste and also changed the definition of municipal waste compared to the previous methodology. This was made possible by the wider use of the existing administrative data source, the Integrated Environmental Reporting System (ISPOP). The change in the definition of municipal waste was a response to recent Eurostat activities, which led to a more precise definition. The original method no longer meets this definition.

Property Taxation Data for Nondomestic Buildings in England and Wales

10.1068/bst6 ◽  
2000 ◽  
Vol 27 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Harry Bruhns
Keyword(s):  
Administrative Data ◽  
Fossil Fuels ◽  
Building Construction ◽  
Building Stock ◽  
England And Wales ◽  
Property Taxation ◽  
Considerable Research ◽  
Administrative Data Source ◽  
Data Source ◽  
The Uk

In this paper I will describe data provided by the UK Valuation Office (VO) for the national Non-Domestic Building Stock database developed for the Department of the Environment, Transport and the Regions. The purpose of this database is to support policymaking for the conservation of fossil fuels and the reduction of greenhouse gas emissions. The fact that the VO data cover floor areas, activities, building construction, and building services—all of which are liable to affect the use of fuels in buildings—make them specially valuable for this application. Several tables and charts derived from the VO data are presented, containing statistics on the nondomestic building stock of England and Wales. A review is then given of the very considerable research potential of such a large administrative data source as the VO databases. Some of the problems that arise in the use of those data are examined.

scholarly journals Working with federal government agencies to unlock administrative data

2018 ◽  
Vol 3 (5) ◽  
Author(s):  
Jennifer Auer
Keyword(s):  
Administrative Data ◽  
Source Coding ◽  
Low Cost ◽  
Census Bureau ◽  
Project Proposal ◽  
The Public ◽  
Econometric Methods ◽  
Technical Specifications ◽  
Data Source ◽  
Link Information

Federal administrative data is a low-cost and low-burden data source for evidence-based policy making. By linking information from different surveys, or over time, researchers can achieve the sample size and variation needed for advanced econometric methods. However, the personally identifying information (PII) needed to link information means that these data re not available to the public. One solution is to provide technical specifications to the requisite agency(s) to execute the research. This paper outlines the process and pitfalls of drafting specifications for an implementing party who knows more about the data than you do. Drawing on experience from working with the U.S. Census Bureau and knowledge gained from related literatures, such as open-source coding, this paper recommends the depth of description, order of data manipulation and analysis, and requested output to make these collaborative projects successful. A federal administrative data project proposal template is offered. The paper also advises on information that federal agencies can supply to facilitate the use of these important data sources.

scholarly journals Identifying Prenatal Opioid Exposure in Health Administrative Data for Public Health Surveillance and Epidemiologic Research

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Andi Camden ◽  
Teresa To ◽  
Joel G Ray ◽  
Tara Gomes ◽  
Li Bai ◽  
...  
Keyword(s):  
Prescription Drug ◽  
Administrative Data ◽  
Population Based ◽  
Emergency Department Visits ◽  
Prescription Data ◽  
Opioid Use ◽  
Health Administrative Data ◽  
Maternal Characteristics ◽  
Data Source ◽  
The Impact

IntroductionAccurate estimation of prenatal opioid exposure (POE) is needed for population-based surveillance & research but can be challenging with health administrative data due to varying definitions & methods. Prior research has relied primarily on infant records with a diagnosis of neonatal abstinence syndrome (NAS). Objectives and Approach1) Evaluate the impact of using different definitions of maternal opioid use in the estimation of POE; 2) Investigate whether maternal characteristics vary by the type of definition used. Population-based cross-sectional study of all hospital births (N= 454,746) from 2014-2017 in Ontario, Canada. Multiple linked population-based health administrative databases were used to identify opioid-related pre- & perinatal Emergency Department visits & hospitalizations & opioid prescriptions. We examined how pre-conception & in-pregnancy maternal characteristics varied by using different approaches to ascertain POE. ResultsThere were 9624 live/still births with POE. Ascertainment of POE was highest using maternal prescription drug data (79%) & infant hospital records with NAS (45%). Maternal characteristics varied by data source used for POE ascertainment. Opioid-related health care during pregnancy identified a high-risk phenotype, contrasted with those ascertained through prescription data, with respective rates of 64% vs. 54% for social assistance, 37% vs. 12% for polydrug use, 23% vs. 6% for alcohol use, 26% vs. 19% for 3+ live births, 13% vs. 5% for victim of violence, 12% vs. 6% for involvement in criminal justice system & 64% vs. 17% for mental health & addictions hospital care. Conclusion / ImplicationsPOE ascertainment differs by health administrative data source & ability to link both across maternal records and with infant. Prescription drug data identified the highest number of opioid-exposed births and, with linked healthcare records, is useful to identify illicit opioid use & additional risk factors. Clinically meaningful differences in maternal characteristics of opioid users exist by POE ascertainment method.

scholarly journals Creating the Framework for Cross-Sector Health Analysis for Local Communities

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Heather Richards ◽  
Kim Varas ◽  
Samantha Magnus ◽  
Jinhwa Oh ◽  
Christine Voggenreiter
Keyword(s):  
Health Services ◽  
Health System ◽  
First Nations ◽  
Administrative Data ◽  
Health Authority ◽  
Access To Health Care ◽  
Local Level ◽  
Health Administrative Data ◽  
Urban Rural ◽  
Statistics Canada

IntroductionA newly developed BC Ministry of Health geography classification has enabled a standardized approach for community-level analysis of health needs and service provision. An innovative methodology was developed and applied to health administrative data, creating more opportunities to identify variations in health status and utilization across the health system. Objectives and ApproachTwo design principles informed the development of the new geographies. Firstly, they reflect where people live and the communities with which they identify, and secondly, they will assist with identifying where health services are needed for local populations. The objective was to provide the Ministry and health authorities with a framework to identify and work towards providing the optimal delivery of services at the local level. A working group was established for this project and included representatives from the Ministry, each regional health authority, Provincial Health Services Authority, First Nations Health Authority, and BC Stats. ResultsThe building block for the geography classification is the Census Dissemination Block, the lowest unit of geography available in the Standard Geography Classification maintained by Statistics Canada. The geographies were assigned urban-rural designations based on an algorithm that considered the presence of a population centre, the size of the population centre, and the proportion of the population living in it, among other aspects. One of the main goals of the urban-rural designations was to provide meaningful peer groups for cross-jurisdictional studies. The project also reengineered the methods to geocode addresses to improve accuracy to use street addresses (over past method that used postal codes) so that assignment to Census Dissemination Block would be precise. The end result was 218 community geographies with urban-rural designations. Conclusion/ImplicationsThis geography standard allows health system stakeholders to better understand of geographic variation in utilization and access to health care. The ability to link and share information to profile community health between health administrative data and Census data available from Statistics Canada is better due to improved geocoding of addresses.

Use and Perceptions of the Availability of Local Government and Nonprofit Services in Diverse Urban Settings

2019 ◽  
Vol 48 (5) ◽  
pp. 975-997
Author(s):  
Khaldoun AbouAssi ◽  
Lewis Faulk ◽  
Long Tran ◽  
Lilli Shaffer ◽  
Minjung Kim
Keyword(s):  
Local Government ◽  
Administrative Data ◽  
Local Level ◽  
Community Level ◽  
Demand Side ◽  
Individual Level ◽  
Government Services ◽  
Nonprofit Theory ◽  
Perceived Access ◽  
The Relationship

This analysis tests fundamental nonprofit theory using individual-level demand-side data, which complements existing studies that have relied on organizational- and community-level variables alone. We use survey and administrative data to test the relationship between individuals’ perceptions and use of local government services and their reported use of nonprofit services, controlling for the density of organizations around respondents’ addresses. Individuals who report being better served by government services are significantly more likely to report using nonprofit services—while individuals who report being unserved by government are also less likely to report access to nonprofits, despite the actual density of organizations around them. These findings support theories of interdependence between government and nonprofit sectors. However, income-based disparities in perceived access to nonprofit services highlight persistent gaps in serving all individuals on the local level.

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