scholarly journals A data linkage strategy for producing census and population statistics from administrative data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Pete Jones
Keyword(s):  
Administrative Data ◽  
Missing Values ◽  
Census Data ◽  
Data Linkage ◽  
Statistical Processing ◽  
Test Methods ◽  
Third Party ◽  
Statistical Population ◽  
Population Statistics ◽  
Run Up

ObjectivesFollowing the recommendation of the National Statistician in 2014, it is intended that the 2021 Census of England and Wales will make far greater use of administrative data. The combined use of administrative and census data has the potential to enhance the quality and detail of outputs that can be produced in 2021. Furthermore, the government’s aspiration is that future censuses will be conducted with other sources of data. One of the major objectives of the next census is therefore to develop and test methods for producing a future alternative that relies primarily on administrative data and surveys. ApproachIn order to meet the objectives of the 2021 Census, a data linkage strategy is needed to support the statistical system for producing population statistics. Given the diverse uses of linked data in census statistical processing, each matching exercise will have different requirements in terms of scale, methodology and quality. This paper outlines a flexible methodological strategy that has been developed to meet those requirements, with examples of research that has been undertaken to date. ResultsResearch findings from a range of linkage exercises are presented with discussion around the methods used, the scale of the matching exercise and associated measures of quality. Examples include: Linking multiple administrative datasets to produce a ‘Statistical Population Dataset’ Linking to adjust for coverage errors using capture-recapture methods  Generating multivariate tabulations from linked administrative and survey data Using linked administrative data to improve item imputation for missing values  Linking of address records to assign Unique Property Reference Numbers Using administrative data to enhance the 2021 Census Address Register ConclusionCentral to the strategy is the need to develop a business model that can deliver linkage outputs to the required quality while still preserving the privacy of individuals’ data. We conclude that various procedural and technical options for preserving privacy can be incorporated within the framework of this strategy, including pseudonymisation, de-identification, trusted third party models and record indexing. The strategy developed will enable datasets to be linked to the required specifications. In addition, de-identified datasets can be held separately and integrated efficiently when required in the production of statistical outputs. The development of this strategy will continue in the run up to the 2021 Census, with the aim of incorporating its use in wider statistical output production, including population, business statistics and social surveys.

scholarly journals How Does Administrative Data Compare with Census Data for the Measurement of Internal Migration? The Case of Northern Ireland, 2001–2011

2021 ◽  
Author(s):  
Brian Foley ◽  
Tony Champion ◽  
Ian Shuttleworth
Keyword(s):  
Administrative Data ◽  
Internal Migration ◽  
Census Data ◽  
Local Population ◽  
Population Data ◽  
Population Estimates ◽  
Demographic Groups ◽  
Small Areas ◽  
Intercensal Period ◽  
Statistical Agencies

AbstractThe paper compares and contrasts internal migration measured by healthcard-based administrative data with census figures. This is useful because the collection of population data, its processing, and its dissemination by statistical agencies is becoming more reliant on administrative data. Statistical agencies already use healthcard data to make migration estimates and are increasingly confident about local population estimates from administrative sources. This analysis goes further than this work as it assesses how far healthcard data can produce reliable data products of the kind to which academics are accustomed. It does this by examining migration events versus transitions over a full intercensal period; population flows into and out of small areas; and the extent to which it produces microdata on migration equivalent to that in the census. It is shown that for most demographic groups and places healthcard data is an adequate substitute for census-based migration counts, the exceptions being for student households and younger people. However, census-like information is still needed to provide covariates for analysis and this will still be required whatever the future of the traditional census.

scholarly journals Estimation of Determinants of Farmland Abandonment and Its Data Problems

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 596
Author(s):  
Shinichi Kitano
Keyword(s):  
Census Data ◽  
Evaluation Research ◽  
Developed Countries ◽  
Third Party ◽  
Objective Data ◽  
Farmland Abandonment ◽  
Subjective Data ◽  
Research Attention ◽  
Abandoned Farmland ◽  
The Impact

Abandoned farmland is particularly problematic in developed countries where agriculture has a comparative disadvantage in terms of effective use of land resources invested over time. While many studies have estimated the causes of these problems, few have discussed in detail the impact of data characteristics and accuracy on the estimation results. In this study, issues related to the underlying data and the estimation of the determinants of farmland abandonment were examined. Most previous studies on farmland abandonment in Japan have used census data as the basis of their analyses. However, census data are recorded subjectively by farmers. To address this, surveys of abandoned farmland are being conducted by a third party, and the results are compiled into a geographic information system (GIS) database. Two types of datasets (subjective census data and objective GIS data) were examined for their estimation performance. Although the two sets of data are correlated, there are considerable differences between them. Subjective variables are compatible with subjective data, and objective variables are compatible with objective data (meaning that parameters are easily identified). Original data for analysis, such as policy variables, are compatible with objective data. In policy evaluation research, attention should be paid to objective data collection.

Brokerage and Boots on the Ground: Complements or Substitutes in the Manufacturing Extension Partnerships?

2018 ◽  
Vol 32 (4) ◽  
pp. 288-299 ◽  
Author(s):  
Philipp Brandt ◽  
Andrew Schrank ◽  
Josh Whitford
Keyword(s):  
Optimal Design ◽  
Service Delivery ◽  
Administrative Data ◽  
Third Party ◽  
Advisory Services ◽  
Street Level ◽  
Direct Delivery ◽  
Network Failures ◽  
Street Level Bureaucrats

There is more agreement on the need for advisory services to help small and midsized manufacturers keep up with the latest managerial techniques and technologies than there is on the optimal design of those services. This study reconfigures and reanalyzes administrative data from the American Manufacturing Extension Partnership, and draws on extensive interviews with “street-level bureaucrats” at Manufacturing Extension Partnership centers, to identify and compare variation in centers’ approaches to service delivery. Centers and clients who rely on third-party providers tend to have more rather than less enduring ties, suggesting that it’s direct delivery, rather than brokerage, that is associated with one-shot deals. There is evidence also that projects generate the most impact when they help “get the relationships right” and mitigate network failures.

Linking Federal Surveys with Administrative Data to Improve Research on Families

2016 ◽  
Vol 669 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Amy O’Hara ◽  
Rachel M. Shattuck ◽  
Robert M. Goerge
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Low Income ◽  
Family Relationships ◽  
Census Data ◽  
Federal State ◽  
Great Promise ◽  
Science Literature ◽  
Administrative Records ◽  
State And Local

Linkage of federal, state, and local administrative records to survey data holds great promise for research on families, in particular research on low-income families. Researchers can use administrative records in conjunction with survey data to better measure family relationships and to capture the experiences of individuals and family members across multiple points in time and social and economic domains. Administrative data can be used to evaluate program participation in government social welfare programs, as well as to evaluate the accuracy of reporting on receipt of such benefits. Administrative records can also be used to enhance collection and accuracy of survey and census data and to improve coverage of hard-to-reach populations. This article discusses potential uses of linked administrative and survey data, gives an overview of the linking methodology and infrastructure (including limitations), and reviews social science literature that has used this method to date.

scholarly journals The Behavior of Wheat Varieties to Attack By Fusarium Spp. in Different Test

2012 ◽  
Vol 69 (1) ◽  
Author(s):  
Laura Maria ȘOPTEREAN ◽  
Alexandra SUCIU ◽  
Elena NAGY
Keyword(s):  
Statistical Processing ◽  
Grain Protein Content ◽  
Test Methods ◽  
Climatic Conditions ◽  
Cereal Crops ◽  
Fusarium Spp ◽  
Wheat Varieties ◽  
Significant Damage ◽  
Test Version ◽  
Qualitative Nature

Fusarium  is one of the most widespread and damaging diseases of cereal crops (wheat, barley, rye), mainly due to the attack on the ears. In favorable areas for Fusarium , attack causes significant damage in terms of quantity, as a result of reducing the number of berries and THGW's decline, and loss of a qualitative nature, due to lower grain protein content and mycotoxins occurrence. The yield losses caused by Fusarium in wheat, varies from year to year, mainly driven by climatic conditions and technological, source of inoculum and cultivated variety. The objective of this paper was to determine the reaction of wheat varieties to the attack by Fusarium spp. in different test conditions. The researches took place in ARDS Turda, in the Laboratory of Phytopathology. The experiments were located by randomized block method in three replications. Biological material was represented by three varieties of wheat, developed by the Laboratory of Wheat Improvement. Test methods were: uninoculated-untreated, inoculated-untreated, inoculated-treated and uninoculatedtreated. The inoculation was done with the suspension of Fusarium spp. and treatments were applied with products: Falcon 250 EC and Prosaro 460 EC. The manifestation degree of Fusarium was expressed as the percentage of ears and grains infected, and production was expressed by t / ha. After observations and statistical processing of data we can say that the percentage of infected grain varies between 0-16 %, for varieties studied. Yield obtained have been affected by the test version in the two experimental years, the lowest yields were obtained in natural and artificial infection, but without treatment, ranging between 4.7 to 4.9 t / ha in 2010 and 2.8 to 3.9 in 2011.

scholarly journals Enhancing Joint Replacement Outcomes Through Registry Linkage with National Health Administrative Data in Australia

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Katherine Duszynski ◽  
Stephen E Graves ◽  
Nicole Pratt ◽  
Maria Inacio ◽  
Richard De Steiger ◽  
...  
Keyword(s):  
Health Service ◽  
Administrative Data ◽  
Joint Replacement ◽  
Linked Data ◽  
Data Linkage ◽  
Service Utilisation ◽  
Prescription Data ◽  
National Data ◽  
Joint Replacement Surgery ◽  
Replacement Surgery

IntroductionMonitoring of joint replacement (JR) data from the Australian Orthopaedic Association National Joint Replacement Registry (AOANJRR) has reduced revision rates and improved surgical practice. Outcome assessment post-arthroplasty is limited however, to revision (reoperation) surgery and mortality outcomes. The AOANJRR National Data Linkage project seeks to broaden the scope of outcomes investigation in Australia by linking registry and health administrative datasets. Objectives and ApproachUsing linked registry and administrative data, the project seeks to describe and quantify national/regional trends and variation in major complications (infection, dislocation, arthrofibrosis, chronic pain, venous thromboembolism, cardiac events), malignancy and health service utilisation (readmissions, emergency encounters and inpatient rehabilitation) following hip, knee and shoulder joint replacement surgery. Evidence will be generated on how these outcomes are associated with and vary according to patient, surgical, implant, hospital and pharmacological factors. As Australia lacks a national identifier, seven linkage agencies are probabilistically linking AOANJRR hip, knee and shoulder replacement data (1999-2017) with 20 datasets. Datasets include government-subsidised health services, procedural and prescription data. Hospital separations and emergency attendance data from Australia’s eight jurisdictions together with national cancer registry and rehabilitation service data are also planned for linkage. Linked data are maintained in a secure remote access computing environment. ResultsTo date, national Medicare Benefits Schedule, Pharmaceutical Benefits Scheme and the Australian Cancer Database data have been linked with >900,000 AOANJRR patients, representing 607.6 million health service records (1999-2018), 467.7 million prescriptions (2002-2018) and 184,000 cancer records, respectively. Remaining linked data will be available in mid-2020. Some initial summary results across a selected range of studies will be presented. Conclusion / ImplicationsThis national data-linkage program will identify areas for improvement in joint replacement surgery and modifiable risk factors contributing to poor patient outcomes.

scholarly journals Linked government administrative data: Public or Private?

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Joel Stafford
Keyword(s):  
Public Good ◽  
Communication Networks ◽  
Administrative Data ◽  
Public Service ◽  
Policy Development ◽  
Data Linkage ◽  
The Public ◽  
Government Services ◽  
Service Contracts ◽  
Public Data

Background with rationaleIt is commonplace in policy discussions concerning administrative data linkage to presuppose that the data referred to is government services data. But this is not always the case. Much of the data public services hold is now collected via intermediaries, such as Non-Government Organisations, operating under service contracts with one or multiple government departments. Nor are these the only administrative data holdings applicable to clients of government services. There are also vast private administrative data holdings – including utility data, and consumer behaviour data. Creating and amending legislation that governs public service practices in this domain is increasingly made complex when private companies partner with governments agencies on policy development and evaluation work. Understanding the concept of public data for public good in light of this expanded sense of administrative data opens the door to deeper questions about the role linked data can play in government decision making. Main aimThe paper problematizes how legislation governing the linking of government administrative data is scoped and discusses how public service work can be affected by the opaque communication networks that increasingly span the public-private sector divide. Methods/ApproachAfter contextualising the challenge of legislating for administrative data linkage in the current work of the Office of the National Data Commissioner (ONDC) in Australia, this paper tests aspects of the proposed legislation against the extent to which it permits the possibility of ‘data laundering’. ResultsThe presentation demonstrates the need for greater sophistication in the specification of data linkage and sharing legislation in service of the public good. Conclusions This paper indicates that contemporary practices governing the linkage of government administrative data holdings is porous to the aims of extra-governmental organisations and may benefit by better incorporating legislative structures that govern private analytical services entities.

scholarly journals Creating Additional Census Income Topics from Linked Administrative Data

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
James Mowle
Keyword(s):  
Income Distribution ◽  
Social Services ◽  
Administrative Data ◽  
Census Data ◽  
Community Services ◽  
Wide Range ◽  
Australian Community ◽  
Linked Administrative Data ◽  
Australian Bureau Of Statistics ◽  
Integration Project

IntroductionThe Census is the largest statistical collection undertaken by the Australian Bureau of Statistics (ABS), with its data critical to informing the planning and delivery of Government and community services. While the Census measure of income supports a wide range of analysis, demand exists for additional income topics to complement and extend the range of socio economic analysis that can be undertaken. The ABS has recently developed three experimental income topics for the 2016 Census using linked administrative data: main source of income; main source of government payments; and previous financial year income. Objectives and ApproachThis research utilised administrative data integrated by the ABS for the Multi-Agency Data Integration Project (MADIP). Taxation data from the Australian Taxation Office (ATO) and social security data from the Department of Social Services (DSS) were used in conjunction with the 2016 Census data to derive the additional topics. ResultsOverall, the three measures compare relatively closely to similar measures from the ABS Survey of Income and Housing (SIH). The ‘Main source of income’ and ‘Main source of government payments’ measures exhibit similar distributions to those from the SIH. The ‘Previous financial year income’ measures compare more closely with Census and SIH at the higher end of the income distribution, with some differences apparent at the lower end of the income distribution. Conclusion / ImplicationsThis work demonstrates the potential to supplement and enhance existing Census topics with linked administrative data. Further research, development and consultation with data users and the Australian community is needed.

The Office of Management and Budget: The Quarterback of Evidence-Based Policy in the Federal Government

2018 ◽  
Vol 678 (1) ◽  
pp. 112-123
Author(s):  
Kathy Stack
Keyword(s):  
Federal Government ◽  
Social Services ◽  
Administrative Data ◽  
Data Linkage ◽  
Executive Branch ◽  
Federal Agencies ◽  
Evidence Based ◽  
Obama Administration ◽  
Evaluation Capacity ◽  
White House

During the Obama administration, the White House Office of Management and Budget’s (OMB) leadership helped to initiate and cement evidence-based policymaking reforms across the federal government, particularly in social services programs. Notable accomplishments were in the design of outcome-focused programs that use and build evidence, the strengthening of agency evaluation capacity, and interagency data-linkage projects to harness administrative data. Here, I review those accomplishments and catalog the key assets and tactics that OMB used to help federal agencies increase their use of evidence and innovation. I also assess the shortcomings and limitations of the Obama-era OMB approach and draw conclusions about what could be done in the current or a future administration to further advance evidence-based policymaking in the executive branch. Specifically, I propose that Congress and the administration should work to improve agency evaluation capacity, assess and report on agencies’ progress in using and building evidence, and establish an Intergovernmental Evidence and Innovation Council.

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