Justin nguyen census quick

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Authors: de Waal, Ton | van Delden, Arnout | Scholtus, Sander

Article Type: Research Article

Abstract: The ESSnet on Quality of Multisource Statistics is part of the ESS.VIP Admin Project. The main objectives of that latter project are (i) to improve the use of administrative data sources and (ii) to support the quality assurance of the output produced using administrative sources. The ultimate aim of the ESSnet is to produce quality guidelines for National Statistics Institutes (NSIs) that are specific enough to be used in statistical production at those NSIs. The guidelines aim to cover the diversity of situations in which NSIs work as well as restrictions on data availability. The guidelines will list a variety…of potential measures, indicate for each of them their applicability and in what situation it is preferred or not, and provide an ample set of examples of specific cases and decision-making processes. Work Package 3 (WP 3) of the ESSnet focuses on developing and testing quantitative measures for measuring the quality of output based on multiple data sources and on methods to compute such measures. In particular, WP 3 focuses on non-sampling errors. Well-known examples of such quality measures are bias and variance of the estimated output. Methods for computing these and other quality measures often depend on the specific data sources. Therefore, we have identified several basic data configurations for the use of administrative data sources in combination with other sources, for which we propose, revise and test quantitative measures for the accuracy and coherence of the output. In this article we discuss the identified basic data configurations, the approach taken in WP 3, and give some examples of quality measures and methods to compute those measures. We also point out some topics for future work. Show more

Keywords: Administrative data, multi-source statistics, quality measures, survey data

DOI: 10.3233/SJI-180468

Citation: Statistical

Federal Committee on Statistical Methodology 2023 Research and Policy Conference

FCSM 2023 Program (click to download)

October 24-26, 2023
College Park Marriott Hotel and Conference Center
Hyattsville, MD

Hosted By: Council of Professional Associations on Federal Statistics

Concurrent sessions A
Tuesday, October 24
9:00 AM - 10:30 AM

Organizer: David Dutwin, NORC at the University of Chicago
Chair: Ed Mulrow, NORC at the University of Chicago
Discussant: Ed Mulrow, NORC at the University of Chicago

A Review of Methods to Combine Probability Surveys and/or Calibrate One Probability Survey with Official Federal Statistical Survey Data
Stas Kolenikov, NORC at the University of Chicago
Paul Scanlon, National Center for Health Statistics
James Dahlhamer, National Center for Health Statistics
Katherine Irimata, National Center for Health Statistics
Michael Yang, NORC at the University of Chicago

Assessing and Improving Calibration Weighting of Web Surveys Using the R- indicator
Rong Wei, National Center for Health Statistics
Van L Parsons, National Center for Health Statistics
Yulei He, National Center for Health Statistics

A Test of a “Federal” Approach to Increase Survey Response and Fit-for-purpose of Probability Panels for Federal Data Collection
David Dutwin, NORC at the University of Chicago
Ipek Bilgen, NORC at the University of Chicago
J. Michael Dennis, NORC at the University of Chicago

Combining and Standardizing Panel Surveys as Part of a Government Survey System - an Investigation
Van L Parsons, National Center for Health Statistics
Yulei He, National Center for Health Statistics
Katherine Irimata, National Center for Health Statistics
Bill Cai, National Center for Health Statistics

Using the Household Pulse Survey to Identify Potential External Benchmarks of Economic, Social, and Health Well-Being
Pri

Invited Papers

Session 18 Recent Advances in Spatial Methodology for Federal Surveys—Topic-Contributed
Organizer(s): Scott Holan, University of Missouri
Chair(s): Christopher K. Wikle, University of Missouri

The Poisson Change of Support Problem with Applications to the American Community Survey- FJonathan R. Bradley, Christopher K. Wikle, Scott Holan,

A Fully Bayesian Approach for Generating Synthetic Marks and Geographies for Confidential Data- Harrison Quick, Scott Holan, Christopher K.Wikle, Jerome P. Reiter

Flexible Bayesian Methodology for Multivariate Spatial Small Area Estimation- Aaron T. Porter, Scott Holan, Christopher K. Wikle

Spatio-Temporal Modeling of U.S. State-To-State Migration Flows- Trevor Oswald

Improving the American Community Survey Margins of Error Through Data-Driven Regionalization— Seth Spielman, David Folch

Session 40 Innovations at U.S. Census Bureau—Contributed
Organizer(s):
Chair(s): Frank Potter, Mathematica Policy Research

Joe Steinberg and the Class of 1940 - Gary Shapiro
Keywords: U S Census Bureau, survey sampling innovation, Current Population Survey

A Comparison of Methodologies for Classification of Administrative Records Quality for Census Enumeration - Darcy Steeg Morris
Keywords: Administrative Records, Supervised Learning, Classification, Census Enumeration

Issues Concerning Imputation of Hispanic Origin Due to Potential Administrative Record Enumeration for the 2020 Census - Richard A. Griffin
Keywords: Non-response follow-up, Non-ignorable nonresponse, Administrative Records

Using Data from the American Community Survey to Better Understand Coverage Measurement Results in the 2010 Census - Andrew Keller, Tyler Fox
Keywords: American Community Survey, Census Coverage Measurement, Components of Census Coverage

Using Administrative Records to Redu