Identifying nascent high-growth firms using machine learning / by Stephanie Houle and Ryan Macdonald. : FB3-5/2023-53E-PDF
"We explore the use of supervised machine learning techniques to identify a population of nascent high-growth firms using Canadian administrative firm-level data. We apply a suite of supervised machine learning algorithms (elastic net model, random forest and neural net) to determine whether a large set of variables on Canadian firm tax filing financial and employment data, state variables (e.g., industry, geography) and indicators of firm complexity (e.g., multiple industrial activities, foreign ownership) can predict which firms will be high-growth firms over the next three years"--Abstract.
Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.929015&sl=1
| Ministère/Organisme | Bank of Canada, issuing body. |
|---|---|
| Titre | Identifying nascent high-growth firms using machine learning / by Stephanie Houle and Ryan Macdonald. |
| Titre de la série | Staff working paper = Document de travail du personnel, 1701-9397 ; 2023-53 |
| Type de publication | Série - Voir l'enregistrement principal |
| Langue | [Anglais] |
| Format | Électronique |
| Document électronique | |
| Note(s) | "Last updated: October 16, 2023." Cover title. Includes bibliographical references (pages 29-31). Includes abstract in French. |
| Information sur la publication | [Ottawa] : Bank of Canada = Banque du Canada, 2023. ©2023 |
| Auteur / Contributeur | Houle, Stéphanie,1973- author. |
| Description | 1 online resource (ii, 31 pages) : charts. |
| Numéro de catalogue |
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| Descripteurs | Business enterprises -- Canada. Machine learning. Entreprises -- Canada. Apprentissage automatique. |
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