• Corpus ID: 214795101

Predicting Labor Shortages from Labor Demand and Labor Supply Data: A Machine Learning Approach

  title={Predicting Labor Shortages from Labor Demand and Labor Supply Data: A Machine Learning Approach},
  author={Nikolas Dawson and Marian-Andrei Rizoiu and Benjamin Johnston and Mary-Anne Williams},
This research develops a Machine Learning approach able to predict labor shortages for occupations. We compile a unique dataset that incorporates both Labor Demand and Labor Supply occupational data in Australia from 2012 to 2018. This includes data from 1.3 million job advertisements (ads) and 20 official labor force measures. We use these data as explanatory variables and leverage the XGBoost classifier to predict yearly labor shortage classifications for 132 standardized occupations. The… 

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