National estimates of gross employment and job flows from the Quarterly Workforce Indicators with demographic and industry detail

被引:14
作者
Abowd, John M. [1 ]
Vilhuber, Lars [1 ]
机构
[1] Cornell Univ, Sch Ind & Labor Relat, Ithaca, NY 14853 USA
基金
美国国家科学基金会;
关键词
UNITED-STATES; WORKER FLOWS; DYNAMICS; DESTRUCTION; TURNOVER; CREATION; ERRORS;
D O I
10.1016/j.jeconom.2010.09.008
中图分类号
F [经济];
学科分类号
02 ;
摘要
The Quarterly Workforce Indicators (QWI) are local labor market data produced and released every quarter by the United States Census Bureau. Unlike any other local labor market series produced in the US or the rest of the world, QWI measure employment flows for workers (accession and separations), jobs (creations and destructions) and earnings for demographic subgroups (age and gender), economic industry (NAICS industry groups), detailed geography (block (experimental), county, Core-Based Statistical Area, and Workforce Investment Area), and ownership (private, all) with fully interacted publication tables. The current QWI data cover 47 states, about 98% of the private workforce in those states, and about 92% of all private employment in the entire economy. State participation is sufficiently extensive to permit us to present the first national estimates constructed from these data. We focus on worker, job, and excess (churning) reallocation rates, rather than on levels of the basic variables. This permits a comparison to existing series from the Job Openings and Labor Turnover Survey and the Business Employment Dynamics Series from the Bureau of Labor Statistics (BLS). The national estimates from the QWI are an important enhancement to existing series because they include demographic and industry detail for both worker and job flow data compiled from underlying micro-data that have been integrated at the job and establishment levels by the Longitudinal Employer-Household Dynamics Program at the Census Bureau. The estimates presented herein were compiled exclusively from public-use data series and are available for download. (c) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:82 / 99
页数:18
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