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tidyqwi: A Tidy Approach to Accessing The US Census Bureau's Quarterly Workforce Indicators

Authors: Michael E. DeWitt Jr.; Mona Ahmadiani; Adam S. Hyde;

tidyqwi: A Tidy Approach to Accessing The US Census Bureau's Quarterly Workforce Indicators

Abstract

The purpose of ``tidyqwi`` is to access the U.S. Census Bureau Quarterly Workforce Indicators(QWI) API and return a tidy data frame for further analysis. QWI is a longitudinal dataset across NAICS industry groups that contains quarterly measures of employment flows including employment, job creation/destruction, hires, separations, and turnover – as well as net employment growth among other local labor market indicators. The source data for the QWI is the Longitudinal Employer-Household Dynamics (LEHD) combined with input data from Unemployment Insurance Earnings Data (UI), Quarterly Census of Employment and Wages (QCEW), Business Dynamics Statistics (BDS), and demographic data sources (2000 and 2010 Census, American Community Survey, Social Security administrative records, and individual tax returns). ``tidyqwi`` provides an ergonomic R interface to retrieve these data using a valid U.S. Census API key.

Related Organizations
Keywords

FOS: Economics and business, US Census, Economics, r, Econometrics, national statistics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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