Our team provides the following services to improve your organization’s research infrastructure and increase research capacity
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Customized trainings
Labor market analysis best practices
R/Python for new and experienced users
Incorporating Git version control
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Research mentorship and methods advising
Get individualized support and feedback on research methods.
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Research infrastructure package
Multi-user RStudio cloud server to run analysis and store data
Access to cleaned ACS, CPS, QCEW, OES data
Technical support
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Project research support
Our team conducts data analysis and produces results tables, data visualizations, memos, reports, or blog posts for your organization.
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Best practices for labor market analysis guide
Continually updated guide to datasets and methods used to produce research on job and worker characteristics.
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R code library
Example code for estimating job and worker characteristics using the American Community Survey and Current Population Survey. Package of R functions for assigning industry and occupation labels, estimating hourly wages, adjusting wages for inflation, and exporting formatted results tables to Excel.