Published July 19, 2020 | Version v20200719

Online Supplemental Materials for: "Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in OnTheMap"

  • 1. U.S. Census Bureau
  • 2. OECD
  • 3. Cornell University

Description

This archive contains supplementary materials for the published manuscript.

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 OnTheMap 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.

Notes

The work was supported by the U.S. Census Bureau and by the National Science Foundation [Grants SES-0922005, BCS 0941226, TC-1012593, and SES-1131848 to Abowd and Vilhuber]. This research uses data from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics Program, which was partially supported by the National Science Foundation [Grants SES-9978093, SES-0339191 and ITR-0427889]; by the National Institute on Aging [Grant AG018854]; and by grants from the Alfred P. Sloan Foundation. Any opinions and conclusions expressed herein are those of the authors and do not represent the views of the U.S. Census Bureau. All results have been reviewed and released by the Disclosure Review Board with approval numbers CBDRB-FY19-CED002-B0017 and CBDRB-FY20-CED002-B0001.

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Additional details

Related works

Is supplement to
Working paper: https://ideas.repec.org/p/cen/wpaper/17-71.html (URL)
Working paper: https://arxiv.org/abs/2007.13275 (URL)
Journal article: 10.1093/jssam/smaa029 (DOI)
Is supplemented by
Dataset: 10.3886/E100590V1 (DOI)

Funding

U.S. National Science Foundation
EITM: Developing the Tools to Understand Human Performance: An Empirical Infrastructure to Foster Research Collaboration 0339191
U.S. National Science Foundation
CDI-Type II: Collaborative Research: Integrating Statistical and Computational Approaches to Privacy 0941226
U.S. National Science Foundation
Social Science Gateway to TeraGrid 0922005
U.S. National Science Foundation
TC: Large: Collaborative Research: Practical Privacy: Metrics and Methods for Protecting Record-level and Relational Data 1012593
U.S. National Science Foundation
ITR-(ECS+ASE)-(dmc+int): Info Tech Challenges for Secure Access to Confidential Social Science Data 0427889
U.S. National Science Foundation
Dynamic Employer-Household Data and the Social Data Infrastructure 9978093