Name File Type Size Last Modified
README.txt text/x-web-markdown 1.7 KB 12/14/2017 04:11:AM
qwiv_ak_sa_f_gc_ns_op_u.csv.gz application/gzip 7 MB 12/14/2017 04:14:AM
qwiv_ak_sa_f_gc_ns_oslp_u.csv.gz application/gzip 8 MB 11/14/2014 05:06:PM
qwiv_al_sa_f_gc_ns_op_u.csv.gz application/gzip 21.1 MB 11/14/2014 05:07:PM
qwiv_al_sa_f_gc_ns_oslp_u.csv.gz application/gzip 23.5 MB 11/14/2014 05:06:PM
qwiv_all_d_f_gc_ns_op_u.csv.gz application/gzip 85.4 MB 11/14/2014 05:06:PM
qwiv_all_d_f_gc_ns_oslp_u.csv.gz application/gzip 93.6 MB 11/14/2014 05:07:PM
qwiv_all_sa_f_gs_n_op_u.csv.gz application/gzip 1.4 MB 11/14/2014 05:07:PM
qwiv_all_sa_f_gs_n_oslp_u.csv.gz application/gzip 1.4 MB 11/14/2014 05:07:PM
qwiv_ar_sa_f_gc_ns_op_u.csv.gz application/gzip 18.5 MB 11/14/2014 05:06:PM
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Project Citation: 

McKinney, Kevin L., Green, Andrew S., Vilhuber, Lars, Abowd, John M., and Abowd, John M. Replication data: Total Error and Variability Measures for QWI and LODES. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2017-12-15. https://doi.org/10.3886/E100590V1

Project Description

Summary:  View help for Summary 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 employment, beginning-of-quarter employment, full-quarter employment, total payroll, and average monthly earnings of full-quarter employees. These are the data that were produced for those five indicators.

Note

Data for all states except Massachusetts and Texas are available. See README.txt for details on available files.

Disclaimer

Any opinions and conclusions expressed herein are those of the authors and do not necessarily represent the views of the U.S. Census Bureau. All results have been reviewed to ensure that no confidential information is disclosed (DRB request dated 2013-11-22, submitted 2013-12-02, approved 2013-12-17, ARTS445/ CMS538).

Acknowledgements

Abowd and Vilhuber acknowledge direct support from the U.S. Census Bureau (prior to Abowd’s appointment) and NSF Grants SES-0922005, BCS 0941226, TC-1012593, and SES-1131848. This research uses data from the U.S. Census Bureau’s Longitudinal Employer-Household Dynamics Program, which was partially supported by the following National Science Foundation Grants: SES-9978093, SES-0339191 and ITR-0427889; National Institute on Aging Grant AG018854; and grants from the Alfred P. Sloan Foundation.
Funding Sources:  View help for Funding Sources National Science Foundation (SES-0922005); National Science Foundation (BCS 0941226); National Science Foundation (TC-1012593); National Science Foundation (SES-1131848); National Science Foundation (SES-9978093); National Science Foundation (SES-0339191); National Science Foundation (ITR-0427889); United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (AG018854); Alfred P. Sloan Foundation

Scope of Project

Subject Terms:  View help for Subject Terms employment; earnings; multiple imputation; total quality measures
Geographic Coverage:  View help for Geographic Coverage United States of America
Universe:  View help for Universe Workers covered by Unemployment Insurance

Methodology

Data Source:  View help for Data Source United States Census Bureau: Quarterly Workforce Indicators and United States Census Bureau: Longitudinal Employer-Household Dynamics Data
Unit(s) of Observation:  View help for Unit(s) of Observation Counties of the United States
Geographic Unit:  View help for Geographic Unit Counties of the United States

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