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Title: Workforce Insight Tool Methods Report

Citation Type: Working Paper

Publication Year: 2023

DOI: 10.2139/SSRN.4671063

Abstract: In this report, we lay out the analytical foundations for a workforce supply assessment tool, which enables users to evaluate the supply of skills by region. Currently, this analytical toolset provides estimates of the stock of labor in different occupations (with associated skill requirements) across different regions, and observations of the flow rate of labor across occupations. The toolset connects these parameters to an evaluation of the similarity of skill requirements (derived from O*NET) across occupations. The tool then generates estimates of the stock and flow of labor across occupations that satisfy a minimum skill similarity to a "target occupation." These capabilities represent the first steps of an approach with the ultimate goal of estimating what skill supply might be available to satisfy new sources of labor demand with given skill requirements, such as the skill demands associated with large-scale investment in onshore manufacturing capability. Importantly the measures of skill similarity we use in this tool have not been validated in terms of the real rates of transition across occupations, and such analysis is a minimum condition for drawing conclusions about the level of supply to meet different levels of skill demand. A mature version of this capability will help inform decision makers, such as employers and government leaders, about the relative feasibility across regions of sourcing the skills necessary to meet different demands, candidate occupations for recruitment to match supply and demand of skills, and the implications for supply-demand matching of changing skill requirements (such as by considering workers whose occupation suggests they may be a partial but not complete match for a set of skill requirements).

Url: https://papers.ssrn.com/abstract=4671063

User Submitted?: No

Authors: Gonchar, Elizaveta; Combemale, Christophe; Ramayya, Krishnan

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Pages: 1-33

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Data Collections: IPUMS CPS

Topics: Labor Force and Occupational Structure

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