Supervised learning for the prediction of firm dynamics

@article{BargagliStoffi2021SupervisedLF,
  title={Supervised learning for the prediction of firm dynamics},
  author={Falco J. Bargagli-Stoffi and Jan Niederreiter and Massimo Riccaboni},
  journal={ArXiv},
  year={2021},
  volume={abs/2009.06413}
}
Thanks to the increasing availability of granular, yet high-dimensional, firm level data, machine learning (ML) algorithms have been successfully applied to address multiple research questions related to firm dynamics. Especially supervised learning (SL), the branch of ML dealing with the prediction of labelled outcomes, has been used to better predict firms’ performance. In this chapter, we will illustrate a series of SL approaches to be used for prediction tasks, relevant at different stages… Expand

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