Improving the Occupational Register and Providing Tools for Labor Market Research

The project aims to improve the quality and accessibility of Swedish occupational data to support labor market and occupational health research.

By developing and publishing open-access code libraries, translation keys, and tools on GitHub, we strive to lower the entry barriers for new researchers, reduce the risk of incorrect handling of variables, and improve comparability between research projects. We will use machine learning to impute missing or incorrect occupational codes in historical data.

The project is closely linked to the Laborocto network, a collection of eight ongoing Forte program grants, and involves collaboration with Statistics Sweden (SCB) and other academic networks to ensure that the developed resources are relevant and useful.

By enhancing occupational data, we can support better analysis of labor market developments and their impacts on society and individuals.

The results are expected to benefit not only researchers but also policymakers and other stakeholders who use these data to make well-informed decisions.