Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin-Destination Employment Statistics in OnTheMap
| Autor: | Andrew S. Green, John M. Abowd, Kevin L. McKinney, Lars Vilhuber |
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| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
FOS: Computer and information sciences Econometrics (econ.EM) 01 natural sciences Methodology (stat.ME) FOS: Economics and business 010104 statistics & probability Statistics 050602 political science & public administration Imputation (statistics) 0101 mathematics Statistics - Methodology Economics - Econometrics Earnings Applied Mathematics 05 social sciences Census Missing data Quarter (United States coin) 0506 political science Variable (computer science) Geography Payroll 8. Economic growth Workforce Statistics Probability and Uncertainty Social Sciences (miscellaneous) |
| DOI: | 10.48550/arxiv.2007.13275 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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