Is firm growth random? A machine learning perspective

Volume: 11, Pages: e00107 - e00107
Published: Jun 1, 2019
Abstract
This study contributes to the firm growth debate by applying machine learning. We compare a prominent machine learning technique – random forest analysis (RFA) – to traditional regression in terms of their goodness-of-fit on a dataset of 168,055 firms from Belgium and the Netherlands. For each of these firms, we have one to six years of historical data involving demographic and financial information. The data show high variation in firm growth...
Paper Details
Title
Is firm growth random? A machine learning perspective
Published Date
Jun 1, 2019
Volume
11
Pages
e00107 - e00107
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.