Extending TSE to Administrative Data: A Quality Framework and Case Studies from Stats NZ

Reid, Giles; Zabala, Felipa; Holmberg, Anders

doi:10.1515/jos-2017-0023

Cited by 19 publications

(23 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Journal of Official Statistics published a special issue in 2015 dedicated to coverage problems in administrative sources , and Statistica Neerlandica published an issue in 2012 on methodological challenges of register-based research (Bakker and Van Rooijen, 2012). Other recent references are for example Reid et al (2017) and Zhang (2011). Although papers on statistical theory related to the use of administrative data might be few in number, I believe that they will be followed by other papers and that we shall see theory develop.…”

Section: Francesca Ieva and Francescamentioning

confidence: 99%

See 1 more Smart Citation

Statistical Challenges of Administrative and Transaction Data

Hand

2018

Journal of the Royal Statistical Society Series A: Statistics in Society

101

View full text Add to dashboard Cite

Summary Administrative data are becoming increasingly important. They are typically the side effect of some operational exercise and are often seen as having significant advantages over alternative sources of data. Although it is true that such data have merits, statisticians should approach the analysis of such data with the same cautious and critical eye as they approach the analysis of data from any other source. The paper identifies some statistical challenges, with the aim of stimulating debate about and improving the analysis of administrative data, and encouraging methodology researchers to explore some of the important statistical problems which arise with such data.

show abstract

Section: Francesca Ieva and Francescamentioning

confidence: 99%

“…Other recent references are for example Reid et al . () and Zhang (). Although papers on statistical theory related to the use of administrative data might be few in number, I believe that they will be followed by other papers and that we shall see theory develop.…”

mentioning

confidence: 99%

Statistical Challenges of Administrative and Transaction Data

Hand

2018

Journal of the Royal Statistical Society Series A: Statistics in Society

101

View full text Add to dashboard Cite

show abstract

“…Without some discussion on the populations covered by each file, you are encouraging users to apply their analysis to inappropriate subpopulations. Reid et al (2017) propose a framework for quality documentation and communication in this situation. Or, perhaps, the user is linking two sources with slightly different entities (family versus head of household), and this creates misleading relationships.…”

Section: Metadata Is the Gateway To The Evolutionary Schemamentioning

confidence: 99%

An Evolutionary Schema for Using “it-is-what-it-is” Data in Official Statistics

Lothian¹,

Holmberg

Seyb

2019

Journal of Official Statistics

Self Cite

View full text Add to dashboard Cite

The linking of disparate data sets across time, space and sources is probably the foremost current issue facing Central Statistical Agencies (CSA). If one reviews the current literature looking for the prevalent challenges facing CSAs, three issues stand out: 1) using administrative data effectively; 2) big data and what it means for CSAs; and 3) integrating disparate data set (such as health, education and wealth) to provide measurable facts that can guide policy makers. CSAs are being challenged to explore the same kind of challenges faced by Google, Facebook, and Yahoo, which are using graphical/semantic web models for organizing, searching and analysing data. Additionally, time and space (geography) are becoming more important dimensions (domains) for CSAs as they start to explore new data sources and ways to integrate those to study relationships. Central agency methodologists are being pushed to include these new perspectives into their standard theories, practises and policies. Like most methodologists, the authors see surveys and the publications of their results as a process where estimation is the key tool to achieve the final goal of an accurate statistical output. Randomness and sampling exists to support this goal, and early on it was clear to us that the incoming “it-is-what-it-is” data sources were not randomly selected. These sources were obviously biased and thus would produce biased estimates. So, we set out to design a strategy to deal with this issue. This article presents a schema for integrating and linking traditional and non-traditional datasets. Like all survey methodologies, this schema addresses the fundamental issues of representativeness, estimation and total survey error measurement.

show abstract

“…This study also contributes to a recent, if more mature, literature that uses administrative data to evaluate existing surveys, as well as an emerging literature that assesses the total quality of administrative data themselves. See Mulry and Keller (2017), Reid, Zabala, and Holmberg (2017), and Davern, Meyer, and Mittag (2018) for recent examples.…”

Section: Introductionmentioning

confidence: 99%

Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin-Destination Employment Statistics in Onthemap

McKinney

Green

Vilhuber

et al. 2020

Journal of Survey Statistics and Methodology

View full text Add to dashboard Cite

We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full-quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in OnTheMap (OTM), including OTM for Emergency Management. We account for errors due to coverage; record-level non-response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated aggregates as long as the job count in the aggregate is more than 10.

show abstract

Extending TSE to Administrative Data: A Quality Framework and Case Studies from Stats NZ

Cited by 19 publications

References 8 publications

Statistical Challenges of Administrative and Transaction Data

Statistical Challenges of Administrative and Transaction Data

An Evolutionary Schema for Using “it-is-what-it-is” Data in Official Statistics

Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin-Destination Employment Statistics in Onthemap

Contact Info

Product

Resources

About