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@OJALAB

OJALAB: Online job advertisements to study skill demand and job search patterns

NCN OPUS 27 grant (2024/53/B/HS4/01580)

OJALAB: Online job advertisements to study skill demand and job search patterns

About

This project aims to develop new methods for measuring job vacancies using survey, online, and administrative data to address issues of bias and limited scope in traditional approaches. The researchers will implement techniques like capture-recapture analysis, data integration methods, and classification algorithms to estimate vacancy numbers, correct for non-representativeness, analyze skill demands, evaluate structural changes in the labor market, and examine job search and matching processes in detail.

Funding

Research funded by the National Science Centre (NCN) Poland under The OPUS 27 grant, grant number 2024/53/B/HS4/01580

Outputs

Papers

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  1. job-ads-classifier job-ads-classifier Public

    Repository for the job ads classifier

    Python 1 1

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