CAREER: A Foundation Model for Labor Sequence Data

arXiv:2202.08370v4 Announce Type: replace
Abstract: Labor economists regularly analyze employment data by fitting predictive models to small, carefully constructed longitudinal survey datasets. Although machine learning methods offer promise for such problems, these survey datasets are too small to take advantage of them. In recent years large datasets of online resumes have also become available, providing data about the career trajectories of millions of individuals. However, standard econometric models cannot take advantage of their scale or incorporate them into the analysis …

abstract analyze arxiv career cs.lg data datasets econ.em employment foundation foundation model labor large datasets machine machine learning predictive predictive models resumes small survey them type